BEGIN:VCALENDAR VERSION:2.0 PRODID:-//AIMed - ECPv6.5.2//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:AIMed X-ORIGINAL-URL:https://ai-med.io X-WR-CALDESC:Events for AIMed REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:America/Los_Angeles BEGIN:DAYLIGHT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT DTSTART:20200308T100000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST DTSTART:20201101T090000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT DTSTART:20210314T100000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST DTSTART:20211107T090000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT DTSTART:20220313T100000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST DTSTART:20221106T090000 END:STANDARD TZID:UTC BEGIN:STANDARD TZOFFSETFROM:+0000 TZOFFSETTO:+0000 TZNAME:UTC DTSTART:20210101T000000 END:STANDARD TZID:America/New_York BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20200308T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20201101T060000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20210314T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20211107T060000 END:STANDARD TZID:Europe/London BEGIN:DAYLIGHT TZOFFSETFROM:+0000 TZOFFSETTO:+0100 TZNAME:BST DTSTART:20210328T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0100 TZOFFSETTO:+0000 TZNAME:GMT DTSTART:20211031T010000 END:STANDARD TZID:UTC BEGIN:STANDARD TZOFFSETFROM:+0000 TZOFFSETTO:+0000 TZNAME:UTC DTSTART:20200101T000000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20220524T140000 DTEND;TZID=America/Los_Angeles:20220526T160000 DTSTAMP:20260430T151515 CREATED:20201203T200610Z LAST-MODIFIED:20220131T112819Z UID:35273-1653400800-1653580800@ai-med.io SUMMARY:AIMed 22 Tickets DESCRIPTION: \n\n\n\n \n\n\n\n \n\n\n\n\n\n\n  URL:https://ai-med.io/event/aimed-22-tickets/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20211216T080000 DTEND;TZID=UTC:20211216T170000 DTSTAMP:20260430T151515 CREATED:20211105T145428Z LAST-MODIFIED:20211105T145429Z UID:42305-1639641600-1639674000@ai-med.io SUMMARY:Test DESCRIPTION:test URL:https://ai-med.io/event/test/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20210928T110000 DTEND;TZID=America/New_York:20210929T150000 DTSTAMP:20260430T151515 CREATED:20201203T185528Z LAST-MODIFIED:20210429T092401Z UID:35242-1632826800-1632927600@ai-med.io SUMMARY:AIMed: Primary Care and Population Health Tickets DESCRIPTION: \n\n\n\n \n\n\n\n \n\n\n\n \n\n\n\n \n\n\n\n \n\n\n\n\n\n\n  URL:https://ai-med.io/event/aimed-primary-care-and-population-health-tickets/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20210826T110000 DTEND;TZID=America/New_York:20210826T120000 DTSTAMP:20260430T151515 CREATED:20210812T163831Z LAST-MODIFIED:20210824T123052Z UID:40761-1629975600-1629979200@ai-med.io SUMMARY:AI in cardiac imaging – clinical benefits and future applications DESCRIPTION:  \n\n\n\nWhen?\nAugust 26th | 11am – 12pm (Eastern USA)   \n  \nAbstract\nArtificial intelligence is already making a positive impact on physician workloads. Within the domain of medical imaging\, there is huge and demonstrable potential to save analysis and reporting time. \nHow is AI helping in clinical workflow? \nThis webinar will examine AI developments in cardiovascular imaging in detail\, offering an understanding of how to integrate AI into the clinical workflow. Attendees will benefit from clinician-led presentations on how AI is helping in the clinical workflow\, including defined benefits around time savings in reporting\, efficiency\, reproducibility\, accuracy\, and more. \n  \n  \nRegister\n  Click here to Register   \n \nSpeakers\nDr John-Paul Carpenter MD(Res) FRCP FESC FSCMRConsultant CardiologistPoole Hospital NHS Foundation TrustMr. Adi HirshHead of ProductsDiA Imaging AnalysisMuhammad Omer (PhD)Senior Research Developer – Machine LearningCircleCVIProf. Noah Liel-CohenAssociate professor of Cardiology Faculty of Health Sciences\, Ben-Gurion University \n \nPartner\n  \n\n\n\n\n\n\n\n\n\n  URL:https://ai-med.io/event/ai-in-cardiac-imaging-clinical-benefits-and-future-applications/ CATEGORIES:Webinar ATTACH;FMTTYPE=image/jpeg:https://ai-med.io/wp-content/uploads/2021/08/Cardiology-Shutterstock.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20210818T110000 DTEND;TZID=America/Los_Angeles:20210818T120000 DTSTAMP:20260430T151515 CREATED:20210806T101749Z LAST-MODIFIED:20210806T120457Z UID:40698-1629284400-1629288000@ai-med.io SUMMARY:Applications of artificial intelligence in mental health DESCRIPTION:  \n\n\n\nWhen?\nAugust 18th | 11am-12pm (Pacific USA)   \n  \nAbstract\nCOVID-19 has taken a huge toll on the mental health of millions of people. In particular\, there has been widespread concern about the impact of the pandemic on the mental health of children and young people\, with evidence of increases in the prevalence of anxiety\, depression\, and other mental health problems. \nAt the same time\, the last 18 months has seen a surge in the development and deployment of AI-powered solutions in the healthcare sector. And while the pandemic has kept patients away from hospitals\, health and wellness apps have increasingly been part of the remote telehealth landscape\, enabling patients and physicians to continue monitoring vitals and mental health. \nWith the potential of applications which can accurately diagnose and assess anxiety and depression now close to realization\, this timely webinar will evaluate the current and future impact of artificial intelligence in mental health. Led by AIMed founder Anthony Chang\, our esteemed panel will consider the situation from multiple perspectives; that of the physician\, the primary care provider\, and pediatric specialists. \n  \nRegister\n  Click here to Register   \n \nSpeakers\nAnthony Chang\, MD\, MBA\, MPH\, MS\, Founder\, AIMed and Chief Intelligence and Innovation Officer\, Children’s Hospital of Orange County (CHOC) \nKang Lee\, PhD\, Chief Science Officer\, NuraLogix \n\n \nPartners\n          URL:https://ai-med.io/event/applications-of-artificial-intelligence-in-mental-health/ CATEGORIES:Webinar ATTACH;FMTTYPE=image/jpeg:https://ai-med.io/wp-content/uploads/2021/08/shutterstock_10367983002-scaled.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20210805T160000 DTEND;TZID=America/New_York:20210805T170000 DTSTAMP:20260430T151515 CREATED:20210720T144631Z LAST-MODIFIED:20210802T122042Z UID:40222-1628179200-1628182800@ai-med.io SUMMARY:AI Education: How can I learn about artificial intelligence? DESCRIPTION:  \n\n\n\nWhen?\nAugust 5th | 4pm – 5pm (Eastern USA)   \n  \nAbstract\nThe lack of data science and artificial intelligence training in medical education and continuing professional development is a key barrier to the wholesale deployment of AI in healthcare. \nHow can practicing clinicians learn about artificial intelligence? How can available educational resources be utilized for those who are interested? What formal training and certification is available around artificial intelligence in medicine? \nThis exclusive webinar will feature three academic experts sharing their educational journeys in artificial intelligence. They will discuss how they are learning about AI\, how they are supporting medical students\, and what academic institutions should be doing to teach radiology residents about AI. \n  \nRegister\n  Click here to Register   \n \nSpeakers\nSonia Gupta\, MD\, Senior Medical Director\, RAD AI; Chair\, Guerbet AI Advisory Board Anthony Chang\, MD\, MBA\, MPH\, MS\, Founder\, AIMed and Chief Intelligence and Innovation Officer\, Children’s Hospital of Orange County (CHOC)Jessica Stewart\, MD\, Assistant Professor of Radiology\, UCLA; Vice Chair\, Guerbet AI Advisory Board Ari Goldberg\, MD\, PhD\, Director of Thoracic and Abdominal Imaging\, Loyola University Health System \n\n \nPartners\n           \n\n\n\n\n\n\n\n\n\n  URL:https://ai-med.io/event/ai-education-how-can-i-learn-about-artificial-intelligence/ CATEGORIES:Webinar ATTACH;FMTTYPE=image/jpeg:https://ai-med.io/wp-content/uploads/2021/06/shutterstock_11971200011-scaled.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/London:20210803T140000 DTEND;TZID=Europe/London:20210803T150000 DTSTAMP:20260430T151515 CREATED:20210727T132434Z LAST-MODIFIED:20210727T133028Z UID:40321-1627999200-1628002800@ai-med.io SUMMARY:Genomes on GPUs: From Big Data to Fast Results DESCRIPTION:  \n\n\n\nWhen?\nTueday August 3rd | 2pm – 3pm BST \n  \nAbstract\nFor precision medicine to become routine\, more must be done to understand human genetic variations and how they contribute to diseases and disorders. This requires high-confidence variant catalogues\, comprehensive annotations\, and approaches to genome-wide analytics that drive new understandings in human biology and medicine. Next generation sequencing is enabling this\, producing data at ever-decreasing costs per whole human genome. As the resulting vast datasets become a bottleneck to scientific progress\, there is a growing need for genomes to be transformed from sequencing reads to functional biological information in the order of minutes\, rather than hours and days. \nGPU-based parallel processing of sequencing data is now addressing the myriad bottlenecks that occur across the computational workflow. With performance of up to 60x acceleration for state-of-the-art bioinformatics tools and complete end-to-end workflows in under 25 minutes\, larger sequencing projects are becoming less expensive\, easier to manage\, and generating more useful insights than ever before. \nThis session will provide an overview of how NVIDIA GPUs are directly improving sequencing accuracy\, how Clara Parabricks pipelines deliver high-speed high-throughput secondary analysis\, and how GPUs can be used more broadly to address computational challenges across a multitude of genomics applications. \n  \n  \nRegister\n  Click here to Register   \n \nSpeakers\n \nHarry Clifford | Senior Product Architect Genomics | Nvidia \nPartners\n            \n\n\n\n\n\n\n\n\n\n  URL:https://ai-med.io/event/genomes-on-gpus-from-big-data-to-fast-results/ CATEGORIES:Webinar ATTACH;FMTTYPE=image/jpeg:https://ai-med.io/wp-content/uploads/2021/07/shutterstock_12953413871.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20210730T110000 DTEND;TZID=America/New_York:20210730T120000 DTSTAMP:20260430T151515 CREATED:20210713T095345Z LAST-MODIFIED:20210721T084522Z UID:40122-1627642800-1627646400@ai-med.io SUMMARY:Demonstrating the Value of AI in Academic Medical Centers and Health Networks DESCRIPTION:  \n\n\n\nWhen?\nJuly 30th | 11am – 12pm (Eastern USA)   \n  \nAbstract\nRecent technological advances have made machine learning tools more accessible and affordable than ever before. And radiology\, as one-of most data-rich departments in healthcare\, has seen the introduction of an avalanche of AI algorithms in recent months and years. However\, as the number of vendors and algorithms continue to climb\, healthcare providers and radiology departments are challenged to determine which algorithms will have the biggest impact and value for them and\, ultimately\, their patients. Although there are a handful of nascent reimbursement routes\, the majority of AI products require careful construction of value propositions that are highly dependent on the reading environment\, payer demographics and structure of the practice with relation to its referrers. This webinar will focus on the barriers and challenges to recognizing value from AI\, what forms this value may take and crucially how this value can be evaluated and demonstrated within large healthcare facilities.   \n  \nRegister\n  Click here to Register   \n \nSpeakers\nDr Christoph Wald\, MD\, PhD\, MBA\, FACRChair\, Dept of Radiology LHMC\, Professor of Radiology\, TUSM\, Chair Commission on InformaticsAmerican College of RadiologyBen Panter\, PhDCEO and Founder Blackford Analysis\n \nPartner\n  \n\n\n\n\n\n\n\n\n\n  URL:https://ai-med.io/event/demonstrating-the-value-of-ai-in-academic-medical-centers-and-health-networks/ CATEGORIES:Webinar ATTACH;FMTTYPE=image/jpeg:https://ai-med.io/wp-content/uploads/2021/06/shutterstock_11971200011-scaled.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20210727T120000 DTEND;TZID=America/New_York:20210727T130000 DTSTAMP:20260430T151515 CREATED:20210719T175350Z LAST-MODIFIED:20210721T100316Z UID:40197-1627387200-1627390800@ai-med.io SUMMARY:The Evolution of Precision Medicine in Cardiovascular Care DESCRIPTION:When?\nJuly 27th 2021 | 12pm – 1pm EDT | 9am – 10am PDT \n  \nAbstract\nThe development of artificial intelligence solutions is helping healthcare organizations to close gaps in patient care. New predictive algorithms are offering major advancements in cardiovascular patient management\, enabling physicians to identify and prioritize the most at-risk patients. \nLed by Dr. Francisco Lopez-Jimenez\, Co-chair of the ACC’s Advanced Healthcare and Analytics Group and Chair of the Division of Preventive Cardiology at Mayo Clinic\, the session will feature: \n\nDr. Rahul Sharma\, Assistant Professor of Medicine at Stanford University and Director of Structural Interventions at Stanford Health Care\, will present on predictive algorithms to help physicians identify undiagnosed aortic stenosis\nDr. Soundos Moualla\, Interventional Cardiologist at Yavapai Regional Medical Center\, will cover advanced technologies to help physicians manage the care of patients with severe mitral regurgitation\nDr. Evelio Rodriguez\, Co-Director of Saint Thomas Heart Institute\, Chief of Cardiac Surgery and Medical Director of the Research Institute at Saint Thomas Heart\, will speak about AI algorithms that predict the progression of severe aortic stenosis\n\n  \nRegister\nClick here to Register \n  \nSpeakers\nDr Evelio Rodriguez\, MD\, FACS\, FACCCo-Director of Saint Thomas Heart Institute\, Chief of Cardiac Surgery and Medical DirectorResearch Institute at Saint Thomas HeartDr Soundos K. Moualla\, MD\, FACC\, FSCAIInterventional CardiologistYavapai Regional Medical CenterFrancisco Lopez-Jimenez\, MD\, MBAProfessor of MedicineMayo ClinicRahul P Sharma\, MBBS\, FRACDirector of Structural Interventions\, Clinical Assistant Professor of MedicineStanford Healthcare\, Stanford University\n  \nPartner\n  \n  URL:https://ai-med.io/event/the-evolution-of-precision-medicine-in-cardiovascular-care/ CATEGORIES:Webinar ATTACH;FMTTYPE=image/jpeg:https://ai-med.io/wp-content/uploads/2021/07/shutterstock_1481125922.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20210622T120000 DTEND;TZID=America/New_York:20210622T130000 DTSTAMP:20260430T151515 CREATED:20210602T160700Z LAST-MODIFIED:20210719T171740Z UID:39238-1624363200-1624366800@ai-med.io SUMMARY:Basics of Successful AI Adoption in Radiology Workflows DESCRIPTION:When?\nJune 22nd | 12pm – 1pm (Eastern USA)\nAbstract\nArtificial intelligence (AI) promises to help radiology departments work smarter\, not harder; to help your radiologist get home in time without compromising the excellent work they do every day. But are your processes and teams ready to deploy and integrate multiple algorithms from multiple suppliers into your workflows? How fast and efficient will they be?\n\nJoin our panel of experts in this AI round table as they discuss:\n\n Challenges to AI deployment and how you can overcome them\n How to ensure success in working with multiple AI vendors\n How to facilitate radiologist adoption into their workflows\n\nRegister today to hear key insights from a panel of innovative healthcare leaders across on how to successfully orchestrate AI into radiology workflows\, create efficiencies across the workflow\, and save radiologist’s time. You will have the opportunity to ask your questions and hear directly from the panelists in this interactive discussion.\nRegister\nClick here to Register\nSpeakers\nDr. Felipe Campos Kitamura\, MD\, MSc\, PDHHead of Innovation in Diagnostic Operations at DASAand Neurologist at UNIFESPDr. Sanjay M ParekhPhD\, Senior Market AnalystSignify Research LimitedFlorian SarrazinGlobal Product Marketing Director\, Edison EcosystemGE HealthcarePeter EgglestonDirector\, Global Product Marketing\, Visualization SolutionsGE Healthcare\nPartner URL:https://ai-med.io/event/basics-of-successful-ai-adoption-in-radiology-workflows/ CATEGORIES:Webinar ATTACH;FMTTYPE=image/jpeg:https://ai-med.io/wp-content/uploads/2021/06/shutterstock_11971200011-scaled.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20210601T000000 DTEND;TZID=America/New_York:20210601T130000 DTSTAMP:20260430T151515 CREATED:20210519T140134Z LAST-MODIFIED:20210602T154459Z UID:38555-1622505600-1622552400@ai-med.io SUMMARY:On-Demand: Understanding the impact of AI enabled opportunistic screening in medical imaging DESCRIPTION:When?\n\nOn-Demand\n\nAbstract\nSince the introduction of AI in Radiology workflows we have seen a large number of solutions focussed on clinical decision support in the acute setting\, allowing for real-time reprioritization of worklists to expedite the reporting of urgent findings. Whilst there is some value in these solutions\, the ROI for procurement remains unclear. As the demand for imaging continues to grow\, and radiology operating at the center of multiple care pathways\, there is an opportunity to screen for high prevalence\, chronic conditions which have clear downstream cost benefits\, as well as significant improvement in patient outcomes. \nJoin Dr Orit Wimpfheimer\, Chief Medical Officer of Zebra Medical Vision\, and Dr Shah Islam\, Neuroradiologist and Senior AI Consultant at Hardian Health\, for an expert led discussion on the impact of AI enabled opportunistic screening in medical imaging and how this can positively impact on population health at scale. \nSpeakers\nDr Shah Islam\, MBBS\, BSc(Hons)\, FRCRSenior ConsultantHardian HealthOrit Wimpfheimer\, MDChief Medical OfficerZebra Medical Vision \nRegister below for free\n(If you do not see a registration form\, try disabling your advert blocker. If you still do not see this please email aj@ai-med.io to get registered) \nOnce you have filled the form in you will recieve an email from goto webinar\, if this does not happen please let us know at aj@ai-med.io. URL:https://ai-med.io/event/ai-in-radiology/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20210415T130000 DTEND;TZID=America/New_York:20210415T140000 DTSTAMP:20260430T151515 CREATED:20210329T092814Z LAST-MODIFIED:20210902T091948Z UID:37774-1618491600-1618495200@ai-med.io SUMMARY:Addressing avoidable readmissions through the lens of AI DESCRIPTION:When:\nApril 15th 2021: 1pm-2pm EDT\nAbstract:\nIt’s no question that Medicare isn’t easing up on readmission penalties — and where many hospitals fall short is when it comes to providing the education and planning necessary for each individual patient who is discharged. Results of a readmitted patient survey suggest that post-discharge experiences could be improved\, especially in the timing of follow-up doctor appointments.\n\nJoin John Frownfelter\, MD\, Chief Medical Officer at Jvion\, for an expert-led discussion on how AI-enabled SDOH and clinical insights can change the game through the lens of real-world case studies. Join us to understand how up to 75% of readmissions could be prevented or reduced in severity with the right interventions\, coordination and communication that meets patient needs.\n\n \nSpeakers:\nJohn Frownfelter\, MD\, FACP\, Chief Medical Officer\, Jvion\n\n \nPartners:\n\nTo register for free complete the form below\nIf you don’t see the registration form\, your advert blocker may be preventing this from showing. Please try removing the advert blocker\, if this still doesn’t work\, please reach out to aj@ai-med.io who can get you registered. URL:https://ai-med.io/event/addressing-avoidable-readmissions-through-the-lens-of-ai/ CATEGORIES:Webinar END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20210401T110000 DTEND;TZID=America/New_York:20210401T114500 DTSTAMP:20260430T151515 CREATED:20210305T174717Z LAST-MODIFIED:20210305T174950Z UID:37305-1617274800-1617277500@ai-med.io SUMMARY:Events\, lead generation and relationship building for health AI DESCRIPTION:Date and time:\nThursday 1 April 11am – 11:45am EST \n  \nAbstract:\nThe global pandemic has effectively removed face to face meetings\, including live conferences and expos\, as an option for business development and marketing executives working in healthcare technology. With time poor clients and ever more complex decision making structures\, a lot of people are finding themselves simply maintaining a base level of engagement across the market\, rather than developing real relationships. \nHow are sales and marketing teams in health AI generating leads\, educating customers\, and building brand awareness in 2021? How are they building SQLs and MQLs with no face to face interaction? How are they planning for the future\, and mitigating the risk of further lockdowns? \nIn this exclusive webinar\, we will bring together senior executives from major corporates\, medium-sized companies and start-ups working in the health AI space to explore best practice in the planning and execution of lead generation through to qualification of a sales prospect. The session will explore how they have reacted and engaged their markets\, what has worked and what has been challenging\, the impact of virtual events and relationships\, as well as forward planning for post-pandemic activity. \n  \nComplete the below form to register for free\nIf you do not see a registration form\, please try disabling your adblocker. If this doesn’t work\, please contact aj@ai-med.io. \n  URL:https://ai-med.io/event/events-lead-generation-and-relationship-building-for-health-ai/ CATEGORIES:Webinar END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20210330T110000 DTEND;TZID=America/New_York:20210331T150000 DTSTAMP:20260430T151515 CREATED:20201203T184441Z LAST-MODIFIED:20210311T162846Z UID:35232-1617102000-1617202800@ai-med.io SUMMARY:AIMed: Surgery\, ICU and Neurosciences 2021 DESCRIPTION:Back to the event page \n\n  \n\n  \n\n\n\n\n \n\n\n\n \n\n\n\n \n\n\n\n \n\n\n\n \n\n\n\n  URL:https://ai-med.io/event/aimed-surgery-and-procedural-2021/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20210317T160000 DTEND;TZID=America/New_York:20210317T170000 DTSTAMP:20260430T151515 CREATED:20210226T183824Z LAST-MODIFIED:20210902T144121Z UID:37113-1615996800-1616000400@ai-med.io SUMMARY:On-Demand: Using AI in the Surgery Suite to Improve Documentation\, Revenue\, and Patient Safety DESCRIPTION:When\nOn-Demand\n\n \nAbstract\nAppropriate reimbursement\, patient care\, and quality outcomes are based on complete operative reports that capture fully specified procedures and diagnoses. Existing surgical documentation workflows do not provide the logic necessary to meet the latest documentation requirements and require time-consuming retrospective reviews and approvals\, wasting precious surgeon time. Artificial Intelligence (AI) tools are becoming widely used to document complete operative reports that meet the latest documentation requirements immediately after surgery\, ensuring that care teams\, coders\, and other key documentation stakeholders have complete and accurate information immediately without adding time for the surgeon. This process has tremendous benefits to patient care\, accurate and appropriate coding\, wRVU capture\, reimbursement\, and quality metrics.\n\n \nLearning objectives:\n\n Identify the market and regulatory factors increasing the pressure on surgeons to deliver accurate\, timely documentation\n Integrate AI documentation tools in the EHR to improve surgeon workflow\, realize more accurate reimbursement\, and better relect patient care\n Highlight use case on the integration of the solution to improve documentation in surgical procedure notes and operative reports\n\n \nSpeakers\nProf. Shafi Ahmed\, Colorectal Surgeon\, The Royal London and St. Bartholomew’s Hospitals\n\nDr. Lucian Newman\, III\, General Surgeon\, and Nuance CMIO\n\nAlexis May\, Content Director\, AIMed\n\n \nPartners\n\nTo register for free complete the form below\nIf you don’t see the registration form\, your advert blocker may be preventing this from showing. Please try removing the advert blocker\, if this still doesn’t work\, please reach out to aj@ai-med.io who can get you registered. URL:https://ai-med.io/event/using-ai-in-the-surgery-suite-to-improve-documentation-revenue-and-patient-safety/ CATEGORIES:Webinar END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20210304T103000 DTEND;TZID=America/New_York:20210304T110000 DTSTAMP:20260430T151515 CREATED:20210224T130038Z LAST-MODIFIED:20210902T093159Z UID:37030-1614853800-1614855600@ai-med.io SUMMARY:Accelerating the pace of AI deployment in healthcare DESCRIPTION:Date and Time:\nThursday\,  March 4th: 10.30am – 11:00am (EST)\nAbstract:\n“We have all this great knowledge that gets developed\, but doesn’t get implemented. It all takes too long and that’s just shameful. Things that could save a life or dramatically improve people’s health sit in a different orbit. It’s so frustrating to see it stay stuck in the research orbit and not helping people.”\n\nEric Topol\n\nThe potential of artificial intelligence to transform healthcare is widely acknowledged. But how do we convert that potential into reality? How do we make this change happen at the systemic or even global level in order to save lives or dramatically improve people’s health\, as Dr Topol stated in a recent interview with AIMed?\n\nIn this exclusive webinar\, Dr Anthony Chang will be joined by some of the executives leading the charge in harnessing the potential of AI to transform healthcare. The panel will highlight the opportunities presented by AI\, as well as the key barriers to deployment\, drawing on direct experience to recommend how healthcare organizations can overcome these.\nSpeakers:\nDr. Anthony ChangFounder AIMed\, Chief Artificial Intelligence OfficerChildren’s Hospital of Orange County (CHOC) Eric Eskioglu\, MDExecutive Vice President\, Chief Medical and Scientific OfficerNovant HealthMaia Hightower\, MD\, MPH\, MBACEO & Founder;Associate Chief Medical Information Officer & Sr. Director Health Equity\, Diversity\, and InclusionEquality AI ; University of Utah HealthNick Patel\, MDChief Digital OfficerPrisma Health\nTo register for free\, simply submit your details below: URL:https://ai-med.io/event/accelerating-the-pace-of-ai-deployment-in-healthcare/ CATEGORIES:Webinar END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20201117T150000 DTEND;TZID=America/New_York:20201117T160000 DTSTAMP:20260430T151515 CREATED:20201029T121119Z LAST-MODIFIED:20201203T141747Z UID:33154-1605625200-1605628800@ai-med.io SUMMARY:Behavioral Health: Using AI to predict suicide\, depression and opioid misuse before it happens DESCRIPTION:Partner:\n \nAbstract: \nThe Covid-19 pandemic isn’t the only public health crisis facing America. According to Accenture\, nearly 58 million adults and 8 million youth between the ages of six and 17 in the U.S. have mental health and/or substance use disorders\, yet only 43% of affected adults are receiving treatment for them. Since the start of COVID\, there has been a significant spike in the use of virtual behavioral health services. While effective for continued support and care\, virtual health services like telehealth\, webchat\, and voice therapy were not designed to catch individuals on the cusp of developing a behavioral health condition. The number of undiagnosed and rapidly deteriorating patients is surely to increase as time passes leaving our health system in yet another predicament. \nJoin Dr Carlo Viamonte\, Medical Officer at Anthem and Dr. John Frownfelter\, Chief Information Officer at Jvion and Karen Murphy\, Executive Vice President and CIO at Geisinger to discuss the need for widespread adoption of clinical AI how AI-driven analysis of relevant risk factors for suicide\, substance abuse or self-harm can save behavioral health providers the guesswork in predicting who is at risk and payers the ability to manage underlying and hidden risks proactively and effectively. Additionally\, AIMED will be sharing the results of a recent industry survey during related to the current state and future of AI investments across payer and provider organizations. \n  \nRegister:\n \nSpeakers:\nDr Carlo Viamonte\, Medical Officer\, Anthem \nDr John Frownfelter\, Chief Information Officer\, JVION \nKaren Murphy\, PhD\, RN\, Executive Vice President and Chief Innovation Officer\, Geisinger \n  URL:https://ai-med.io/event/behavioral-health-using-ai-to-predict-suicide-depression-and-opioid-misuse-before-it-happens/ CATEGORIES:Webinar END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20201021T133000 DTEND;TZID=America/New_York:20201021T143000 DTSTAMP:20260430T151515 CREATED:20201014T115326Z LAST-MODIFIED:20210428T092422Z UID:32957-1603287000-1603290600@ai-med.io SUMMARY:Anthony Chang in conversation with John Rumsfeld DESCRIPTION:Abstract\nAs Chief Innovation Officer and Chief Science and Quality Officer for the American College of Cardiology\, John Rumsfeld is responsible for developing a long-term innovation agenda to help the ACC maintain its competitive advantage in the global marketplace\, investigating global and domestic market trends in the delivery of cardiovascular care and health information technology\, and exploring new technologies and team-based approaches to healthcare. \nIn this exclusive webinar\, Dr Rumsfeld will join AIMed founder Anthony Chang to discuss the role of AI in cardiology and how we can bridge the gap from hype to reality. \nRegister\n \nSpeakers\nDr. Anthony ChangFounder AIMed\, Chief Artificial Intelligence OfficerChildren’s Hospital of Orange County (CHOC) John S. Rumsfeld\, MD PhD FACC FAHA FESCChief Innovation Officer and Chief Science OfficerAmerican College Cardiology URL:https://ai-med.io/event/anthony-chang-in-conversation-with-john-rumsfeld/ CATEGORIES:Webinar END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20200910T103000 DTEND;TZID=America/New_York:20200910T113000 DTSTAMP:20260430T151515 CREATED:20200829T084717Z LAST-MODIFIED:20210902T143001Z UID:32480-1599733800-1599737400@ai-med.io SUMMARY:On-Demand: Overcoming the barriers to deployment of AI in the operating theatre DESCRIPTION:Abstract\nThe potential of data science to increase the efficiency and effectiveness of surgical workflow\, as well as improving patient outcomes\, is well established. And yet\, examples of successful deployment of AI solutions in a surgical setting are still relatively few and far between.\n\nWhat are the main barriers to deployment of AI in the operating theatre\, and how can they be overcome?\n\nIn this exclusive webinar\, our expert panel consider the findings of AIMed’s latest survey of surgeons from across the world\, drawing on their own experiences to highlight the key challenges in implementing artificial intelligence and how they can be mitigated.\n\nClick here to Watch On-demand\nSpeakers\nBaran Tokar\, MDProfessor of Pediatric Surgery and Pediatric UrologyEskisehir Osmangazi UniversityDr. Anthony ChangFounder AIMed\, Chief Artificial Intelligence OfficerChildren’s Hospital of Orange County (CHOC) Prakash Gatta\, MBBS FACSEsophageal SurgeonMultiCare Health System URL:https://ai-med.io/event/overcoming-the-barriers-to-deployment-of-ai-in-the-operating-theatre/ CATEGORIES:Webinar END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20200908T143000 DTEND;TZID=America/New_York:20200908T153000 DTSTAMP:20260430T151515 CREATED:20200828T170145Z LAST-MODIFIED:20210902T144543Z UID:32453-1599575400-1599579000@ai-med.io SUMMARY:On-Demand: What keeps healthcare executives up at night? DESCRIPTION:Abstract\nIn the era of COVID-19\, healthcare executives face a pressing set of challenges. In short\, almost every aspect of doing business must be completely rethought for both short-term survival and long-term advantage.\n\nIt is widely acknowledged that technology holds the potential to improve quality\, lower costs\, increase equitable access\, improve the user experience and reduce administrative overhead.\n\nThis opportunity comes with its own set of concerns and challenges\, however\, including:\n\n Information security\n Cloud computing\n Integrations and upgrades\n Automation and robotics\n Artificial intelligence and machine learning\n Skills gap\n Business continuity and disaster recovery plans\n\nIn this exclusive webinar\, our expert panel consider the findings of AIMed’s latest survey of healthcare executives from across the world\, drawing on their own experiences to address these concerns and hopefully help their colleagues sleep a little better.\n\nClick here to Watch On-demand\nSpeakers\nDavid H Berger\, MDChief Executive OfficerUniversity Hospital of BrooklynPeter Horne\, MBA.Director of System DeliverySouthampton City Clinical Commissioning GroupArlen Meyers\, MD\, MBAPresident and CEOSociety of Physician Entrepreneurs\nSupporting Partners URL:https://ai-med.io/event/what-keeps-healthcare-executives-up-at-night/ CATEGORIES:Webinar END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20200902T170000 DTEND;TZID=America/New_York:20200902T180000 DTSTAMP:20260430T151515 CREATED:20200828T172840Z LAST-MODIFIED:20210902T143055Z UID:32469-1599066000-1599069600@ai-med.io SUMMARY:On-Demand: Overcoming the barriers to deployment of AI in the ICU DESCRIPTION:Abstract\nThe potential of data science to increase the efficiency and effectiveness of critical care units\, as well as improving patient outcomes\, is well established. And yet\, examples of successful deployment of AI solutions in this setting are still relatively few and far between.\n\nWhat are the main barriers to deployment of AI in the ICU\, and how can they be overcome?\n\nIn this exclusive webinar\, our expert panel consider the findings of AIMed’s latest survey of critical care physicians from across the world\, drawing on their own experiences to highlight the key challenges in implementing artificial intelligence and how they can be mitigated.\n\nClick here to Watch On-demand\nSpeakers\nDr. Anthony ChangFounder AIMed\, Chief Artificial Intelligence OfficerChildren’s Hospital of Orange County (CHOC) Matthieu Komorowski\, MD PhDConsultant in Intensive Care\, Charing Cross Hospital Clinical Senior Lecturer\, Faculty of MedicineImperial College LondonDr Bart GeertsConsultant - Cardiac AnaesthetistAcademic Medical Centre\, University of Amsterdam URL:https://ai-med.io/event/overcoming-the-barriers-to-deployment-of-ai-in-the-icu/ CATEGORIES:Webinar END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20200818T170000 DTEND;TZID=America/New_York:20200818T180000 DTSTAMP:20260430T151515 CREATED:20200813T135608Z LAST-MODIFIED:20210902T142233Z UID:32222-1597770000-1597773600@ai-med.io SUMMARY:On-Demand: Key trends in AI and paediatrics DESCRIPTION:Abstract\nData science holds the potential to increase the efficiency and effectiveness of healthcare delivery\, improving patient outcomes and reducing costs. Artificial intelligence is already being used extensively in image analysis\, risk prediction\, workflow prioritisation\, to triage cases and prioritise workflow.\n\nBut how do developments in machine learning and artificial intelligence relate back to actual paediatric clinical practice? And how are they benefiting patients?\n\nIn this exclusive webinar\, our expert panel discuss the key trends in AI and paediatrics\, drawing on their direct experience to highlight the opportunities and challenges in implementing artificial intelligence in healthcare.\n\nClick here to Watch On-demand\nSpeakers\nDr. Anthony ChangFounder AIMed\, Chief Artificial Intelligence OfficerChildren’s Hospital of Orange County (CHOC) Peter Laussen MDExecutive Vice President of Health AffairsBoston Children's HospitalSudhen Desai\, MD\, FSIRSection Chief\, Interventional RadiologyPhoenix Children's HospitalG Hamilton Baker\, MD FACCAssociate Professor of Pediatrics and Public Health\, Director of the MUSC/Clemson University AI HubMedical University of South Carolina URL:https://ai-med.io/event/key-trends-in-ai-and-paediatrics/ CATEGORIES:Webinar END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20200812T143000 DTEND;TZID=America/New_York:20200812T153000 DTSTAMP:20260430T151515 CREATED:20200729T103943Z LAST-MODIFIED:20210115T162118Z UID:32034-1597242600-1597246200@ai-med.io SUMMARY:On-Demand: Key trends in radiology AI DESCRIPTION:Abstract\nData science holds the potential to increase the efficiency and effectiveness of radiology workflow\, as well as improving patient outcomes. Artificial intelligence is already being used to triage cases and prioritise workflow\, increasing efficiency in radiology practice and decreasing burnout in an overstretched profession.\n\nThere are many barriers to success\, however\, including the availability of good quality data\, gaining clinical and organisational buy-in\, and bridging the gap between clinicians and data scientists to ensure that AI-powered solutions respond to real clinical needs.\n\nIn this exclusive webinar\, our expert panel discuss the key trends in AI and radiology\, drawing on their direct experience to highlight the opportunities and challenges in implementing artificial intelligence in healthcare.\n\nClick here to Watch On-demand\nSpeakers\nDr. Anthony ChangFounder AIMed\, Chief Artificial Intelligence OfficerChildren’s Hospital of Orange County (CHOC) Ty VachonAssistant Professor of Radiology and Radiological SciencesUniformed Services University of the Health SciencesOrest B Boyko\, MD\, PhDAssociate Professor of RadiologyUniversity of Southern California URL:https://ai-med.io/event/key-trends-in-radiology-ai/ CATEGORIES:Webinar ATTACH;FMTTYPE=image/jpeg:https://ai-med.io/wp-content/uploads/2020/07/Webinar.-Key-trends-in-radiology-AI.2020.900-x600.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20200811T110000 DTEND;TZID=America/New_York:20200811T120000 DTSTAMP:20260430T151515 CREATED:20200729T111558Z LAST-MODIFIED:20210902T142232Z UID:32040-1597143600-1597147200@ai-med.io SUMMARY:On-Demand: Key trends in cardiology AI DESCRIPTION:Abstract\nData science holds the potential to increase the efficiency and effectiveness of cardiology workflow\, as well as improving patient outcomes. Artificial intelligence is already being used to predict those at risk of heart disease at a population level\, as well as other risk prediction modelling being done in the clinical setting.\n\nThere are many barriers to success\, however\, including gaining clinical and organisational buy-in\, the availability of good quality data\, and bridging the gap between clinicians and data scientists to ensure that AI-powered solutions respond to real clinical needs.\n\nIn this exclusive webinar\, our expert panel discuss the key trends in AI and cardiology\, drawing on their direct experience to highlight the opportunities and challenges in implementing artificial intelligence in healthcare.\n\nClick here to Watch On-demand\nSpeakers\nDr. Anthony ChangFounder AIMed\, Chief Artificial Intelligence OfficerChildren’s Hospital of Orange County (CHOC) Mona G FloresGlobal Head of Medical AINVIDIARob Brisk\, MBBCh\, MRCPSpeciality doctor in cardiology\, Clinical Research FellowCraigavon Area Hospital / School of Computer science\, Ulster University Clinical research fellow URL:https://ai-med.io/event/key-trends-in-cardiology-ai/ CATEGORIES:Webinar ATTACH;FMTTYPE=image/jpeg:https://ai-med.io/wp-content/uploads/2020/07/Webinar.-Key-trends-in-cardiology-AI.2020.900-x600.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20200731T070000 DTEND;TZID=America/Los_Angeles:20200801T110000 DTSTAMP:20260430T151515 CREATED:20200623T095108Z LAST-MODIFIED:20200731T153356Z UID:30583-1596178800-1596279600@ai-med.io SUMMARY:The Medical Intelligence Group Summit DESCRIPTION:When?\nFriday 31st July:             7am – 2pm (PDT) \nSaturday 1st August:      8am – 11am (PDT) \nAbstract\nMedicine has been a clinical science\, supported by data.\nMedicine is about to become a data science\, supported by clinicians. \nArtificial intelligence is rapidly becoming more pervasive in medicine and healthcare. Clinicians\, however\, are not always adequately prepared/ educated to embrace this new paradigm shift. Physicians with an education or dedication for data science are ideally suited to be members of a special cohort to both encourage and educate fellow physicians in this burgeoning domain. \n  \nAgenda\nTBC \n  \nJoin the Meeting\nRegistration is limited to Clinicians\, Data Scientists\, Students from Healthcare Institutes / Academic Institutes\, and/or anyone with a passion or interest in data science and AI. \n(No Corporate Solicitations\, please) \nhttps://aimed.events/virtual-events/the-medical-intelligence-group-summit/ \nTBC \n  \nHosting Partner\n \n\n  \n  \nMedia Partner URL:https://ai-med.io/event/the-medical-intelligence-group-summit/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20200730T090000 DTEND;TZID=America/New_York:20200730T100000 DTSTAMP:20260430T151515 CREATED:20200727T134237Z LAST-MODIFIED:20210902T143612Z UID:31995-1596099600-1596103200@ai-med.io SUMMARY:On-Demand: Telemedicine and virtual care - how COVID changed the world DESCRIPTION:Abstract\n\nThe global health crisis has seen exponential acceleration in the deployment of telemedicine\, with health leaders expecting at least 30% of clinics to remain virtual permanently.\n\nFor healthcare administrators\, this presents both challenges and opportunities\, including:\n\n The need to rethink patient journeys and experience\n The potential to secure cost savings and productivity gains through remote working\n How to ensure the wellbeing of a virtual workforce\n\nThis opening panel will explore the challenges and opportunities presented by virtual healthcare\, and how it can facilitate deployment of AI solutions.\n\nIn this exclusive webinar\, our expert panel discuss the present and future of healthcare delivery\, the implications of the permanent shift to virtual care\, and how it can facilitate deployment of other tech solutions including RPA and AI.\n\nClick here to Watch On-demand\nSpeakers\nAlexis MayContent DirectorAIMedNick Patel\, MDChief Digital OfficerPrisma HealthProfessor Thierry MesanaPresident and CEO\, Gordon Henderson Leadership Chair and Valve Surgery Research ChairUniversity of Ottawa Heart Institute URL:https://ai-med.io/event/telemedicine-and-virtual-care-how-covid-changed-the-world/ CATEGORIES:Webinar ATTACH;FMTTYPE=image/jpeg:https://ai-med.io/wp-content/uploads/2020/07/Webinar.-Telemedicine-and-virtual-care.2020.900-x600.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20200728T150000 DTEND;TZID=America/New_York:20200728T170000 DTSTAMP:20260430T151515 CREATED:20200720T084736Z LAST-MODIFIED:20210902T144720Z UID:31860-1595948400-1595955600@ai-med.io SUMMARY:On-Demand: Population health and social inequities DESCRIPTION:Abstract\n“If we are not careful\, AI will perpetuate the bias in this world. Computers learn how to be racist\, sexist\, and prejudiced in a similar way that a child does. The computers learn from their creator – us.”\nAylin Caliskan\, computer scientist\n\n \n\nThe COVID-19 pandemic and the protests for racial equality rage on unrelentingly as dual forces that are forcing change. There is an underlying irony in that\, even in the pandemic that can be indiscriminately lethal for any human on this planet\, there is a very obvious and disheartening racial disparity in morbidity and mortality.\n\nWhile there is a myriad of ways that artificial intelligence can automate or perpetuate historical discrimination in healthcare\, perhaps there is also a way for artificial intelligence to neutralise this injustice. Although the ethics of algorithms is in its infancy\, there is some existing work in the form of the IEEE P7003 Standard for Algorithmic Bias Considerations that is presently under development as part of the IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems. This effort is aimed at methodologies to eliminate issues of negative bias in the creation of algorithms so that characteristics such as race\, gender\, sexuality\, etc. are protected.\n\nIn this exclusive webinar\, our expert panel discuss the context\, the challenge\, and possible solutions to the bias conundrum\, weighing the roles of machine and human intelligence as well as data science and ethics.\n\nClick here to Watch On-demand\n\n \nSpeakers\nBrooke NewmanDoctorate of Nursing Practice (Learner)Candace Makeda MooreData scientist and medical doctorDr. Anthony ChangFounder AIMed\, Chief Artificial Intelligence OfficerChildren’s Hospital of Orange County (CHOC) Victor F. Garcia\, MDFounding Director\, Trauma Services\, Professor of Surgery and Pediatrics\, School of MedicineUniversity of CincinnatiDr Alberto E TozziChief Innovation Officer and Research Area Coordinator\, Bambino Gesù Children's HospitalSara GerkeAssistant Professor of LawPenn State Dickinson Law URL:https://ai-med.io/event/population-health-and-social-inequities/ CATEGORIES:Webinar ATTACH;FMTTYPE=image/jpeg:https://ai-med.io/wp-content/uploads/2020/07/Population-health-and-social-inequities.900-x-500.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20200722T160000 DTEND;TZID=America/New_York:20200722T163000 DTSTAMP:20260430T151515 CREATED:20200715T202531Z LAST-MODIFIED:20210902T142234Z UID:31786-1595433600-1595435400@ai-med.io SUMMARY:On-Demand: Key trends in surgical AI DESCRIPTION:Abstract\nData science holds the potential to increase the efficiency and effectiveness of surgical workflow\, as well as improving patient outcomes in the operating room. Artificial intelligence is already informing risk prediction and decision support\, increasingly drawing on live data from electronic health records and monitors. Coupled with developments in robotics and automation\, this is an exciting point in the history of surgical practice.\n\nThere are many barriers to success\, however\, including the enablement of integrated data management\, gaining clinical and organisational buy-in\, and bridging the gap between clinicians and data scientists to ensure that AI-powered solutions respond to real clinical needs.\n\nIn this exclusive webinar\, our expert panel discuss the key trends in surgical AI\, drawing on their direct experience to highlight the opportunities and challenges in implementing artificial intelligence in the OR.\n\nClick here to Watch On-demand\nSpeakers\nDr. Anthony ChangFounder AIMed\, Chief Artificial Intelligence OfficerChildren’s Hospital of Orange County (CHOC) Thomas Ward\, MDArtificial Intelligence and Innovation FellowMassachusetts General Hospital's Surgical Artificial Intelligence and Innovation LaboratoryMax R. Langham\, JrProfessor of Surgery and Pediatrics at University of Tennessee Health Science Center\n\n\n  URL:https://ai-med.io/event/key-trends-in-surgical-ai/ CATEGORIES:Webinar ATTACH;FMTTYPE=image/jpeg:https://ai-med.io/wp-content/uploads/2020/07/Surgery.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20200721T160000 DTEND;TZID=America/New_York:20200721T163000 DTSTAMP:20260430T151515 CREATED:20200715T203150Z LAST-MODIFIED:20210902T142233Z UID:31783-1595347200-1595349000@ai-med.io SUMMARY:On-Demand: Key trends in critical care AI DESCRIPTION:Abstract\nData science holds the potential to increase the efficiency and effectiveness of intensive care units\, as well as improving patient outcomes. A lot of research in this space focuses on predictive algorithms: solutions to support the early identification of shock\, sepsis\, hypotension\, and other critical conditions.\n\nThere are many barriers to success\, however\, including the proper management of datasets to facilitate sharing and collaboration\, gaining clinical and organisational buy-in\, and bridging the gap between clinicians and data scientists to ensure that AI-powered solutions respond to real clinical needs.\n\nIn this exclusive webinar\, our expert panel will discuss the key trends in critical care AI\, drawing on their direct experience to highlight the opportunities and challenges in implementing artificial intelligence in the ICU.\n\n \n\nClick here to Watch On-demand\n\nSpeakers\nDr. Anthony ChangFounder AIMed\, Chief Artificial Intelligence OfficerChildren’s Hospital of Orange County (CHOC) Robert David Stevens\, MD\, FCCMAssociate Professor of Anesthesiology and Critical Care MedicineJohns Hopkins UniversityLeo Anthony CeliAssociate Professor of Medicine (Part-time)\, Harvard Medical School; Principal Research ScientistMassachusetts Institute of Technology\n\n  URL:https://ai-med.io/event/key-trends-in-critical-care-ai/ CATEGORIES:Webinar ATTACH;FMTTYPE=image/jpeg:https://ai-med.io/wp-content/uploads/2020/07/ICU.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20200625T220000 DTEND;TZID=UTC:20200625T230000 DTSTAMP:20260430T151515 CREATED:20200601T150130Z LAST-MODIFIED:20210902T141445Z UID:30023-1593122400-1593126000@ai-med.io SUMMARY:On-Demand: How the collaboration with healthcare AI can help in population health DESCRIPTION:Abstract\nThe impact of data quality and quantity (on modeling) is always critical\, no matter in traditional statistics or machine learning (deep learning).\n\nData privacy is always the top consideration for digital health and health informatics. However\, it becomes a significant obstacle when it comes to AI model development\, protected and restricted by regulations such as “right to explanation” from GDPR. Join us in discovering a new way to develop better interpretable AI while keeping data privacy.\n\nWe will also provide you an AI platform that provides an efficient and economical way to speed up your development time or give you an easy way to rapid assessment of clinical data — designed exclusively for data scientists\, software engineers\, and doctors.\n\n \n\nClick here to View\n\n \nSpeakers\nChung-Ting KaoChief EngineerOperating Officer Digital Development Business UnitDr. Anthony ChangFounder AIMed\, Chief Artificial Intelligence OfficerChildren’s Hospital of Orange County (CHOC) Mingta TuSenior EngineerAI Researcher Future Technology Research & Development DepartmentWilliam W. Feaster\, MD\, MBAChief Medical Information OfficerCHOC Children's\nSupporting Partners URL:https://ai-med.io/event/how-the-collaboration-with-healthcare-ai-can-help-in-population-health/ CATEGORIES:Webinar ATTACH;FMTTYPE=image/jpeg:https://ai-med.io/wp-content/uploads/2020/06/Webinar.-Inwinstack.4.-No-text.jpg END:VEVENT END:VCALENDAR