BEGIN:VCALENDAR VERSION:2.0 PRODID:-//AIMed - ECPv6.5.2//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH 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:Asia/Shanghai BEGIN:STANDARD TZOFFSETFROM:+0800 TZOFFSETTO:+0800 TZNAME:CST DTSTART:20190101T000000 END:STANDARD TZID:America/Los_Angeles BEGIN:DAYLIGHT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT DTSTART:20190310T100000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST DTSTART:20191103T090000 END:STANDARD TZID:America/Los_Angeles BEGIN:DAYLIGHT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT DTSTART:20190310T100000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST DTSTART:20191103T090000 END:STANDARD TZID:UTC BEGIN:STANDARD TZOFFSETFROM:+0000 TZOFFSETTO:+0000 TZNAME:UTC DTSTART:20190101T000000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=Asia/Shanghai:20191120T090000 DTEND;TZID=Asia/Shanghai:20191120T100000 DTSTAMP:20260429T133610 CREATED:20191210T220550Z LAST-MODIFIED:20200501T131715Z UID:21418-1574240400-1574244000@ai-med.io SUMMARY:On-Demand: Transforming patient care through imaging AI DESCRIPTION:Abstract: \nTalk of artificial intelligence (AI) and machine learning (ML) has abounded in radiology circles for some years now. Their potential to revolutionize radiology practice\, and in particular image analysis\, is significant. And for some\, the future of radiology has already arrived\, reducing variability and enabling greater efficiency and accuracy. \nBut how is this working in clinical practice? What are the barriers to implementation of AI solutions and\, most importantly\, what are the outcomes for patients? How can technology providers best support clinicians? \nIn this exclusive webinar\, leading radiologists will discuss the clinical applications of a cutting edge brain imaging AI in the evaluation of patients with dementia\, multiple sclerosis and traumatic brain injury\, including examples of clinical cases with multimodal brain imaging (MRI\, icobrain\, FDG brain PET-CT and Amyloid PET). \nClick here to view on demand\n  \nSpeakers: \nDr. Suzie BashMedical Director of Neuroradiology San Fernando ValleyFrançois NicolasChief Digital Officer\, Guerbet Orest B Boyko\, MD\, PhDAssociate Professor of RadiologyUniversity of Southern California \n  \nSupported by: \n \n  URL:https://ai-med.io/event/on-demand-transforming-patient-care-through-imaging-ai/ CATEGORIES:Webinar ATTACH;FMTTYPE=image/jpeg:https://ai-med.io/wp-content/uploads/2020/01/Guerbet-headline-image.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20190924T080000 DTEND;TZID=America/Los_Angeles:20190924T170000 DTSTAMP:20260429T133610 CREATED:20191210T221932Z LAST-MODIFIED:20200501T131723Z UID:21421-1569312000-1569344400@ai-med.io SUMMARY:On-Demand: Continuing the discussion for successful translation of AI into clinical radiology DESCRIPTION:Abstract \nIn the earlier AIMed webinar\, speakers touched upon challenges hindering the real adoption of artificial intelligence (AI) in clinical radiology. As most radiologists share a rather speedy and hectic workload\, AI tools that require extra plug-ins or taking up additional study time may not be well-received. Likewise\, it may not be of the domain’s interest\, if a new solution cannot be seamlessly integrated into the existing Picture Archiving and Communication (PAC) system\, regardless of how effective or efficient it may be. \nIn general\, speakers suggested bridging the gap between ideas and reality. Clinicians who are passionate about data science and AI should gather and bring both radiology and technology closer. On the other hand\, tech guru should consult fellow clinicians to address the real and immediate needs. In spite of the informational session\, there were issues such as obtaining the right data to train AI algorithms\, educating patients and the next generation of clinicians on the benefits of AI\, and whether the existing regulations could support and further accelerate new technologies\, remain unexplored. \nAs such\, in this upcoming webinar\, speakers will continue their discussion of what contributes to a successful translation of AI into present clinical radiology. \nClick here to view on demand\nSpeakers: \nEmily WatkinsSolution Architect\, Pure StorageSamir Shah\, MD\, MMMVP Clinical OperationsRadiology PartnersTessa CookAssistant Professor of Radiology University of PennsylvaniaDr. Ross FiliceChief of Imaging InformaticsMedStar Medical Group Radiology\nSupported by: URL:https://ai-med.io/event/on-demand-continuing-the-discussion-for-successful-translation-of-ai-into-clinical-radiology/ CATEGORIES:Webinar ATTACH;FMTTYPE=image/jpeg:https://ai-med.io/wp-content/uploads/2019/12/Mask-Group-43@2x.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20190624T080000 DTEND;TZID=America/Los_Angeles:20190624T170000 DTSTAMP:20260429T133611 CREATED:20191212T121130Z LAST-MODIFIED:20200501T131732Z UID:21659-1561363200-1561395600@ai-med.io SUMMARY:On-Demand: “What derails AI deployments?” 10 lessons from 3 countries DESCRIPTION:Abstract \nWith healthcare organizations increasingly turning to AI for better care outcomes and hospital operations\, one of the biggest challenges they face comes at the moment of deployment. Organizations could face challenges making the most of their data. \nThey may face difficulty finding the right AI partner. In a lot of cases\, deployment is staggered owing to poor roadmaps and well-defined outcomes\, that help demonstrate a visible win. Overcome these AI deployment challenges by joining KenSci and Microsoft for our webinar ““What derails AI deployments?” 10 lessons from 3 countries” \nClick here to view on demand\nIN THIS WEBINAR YOU WILL LEARN \n\n\n\nWhy healthcare is bullish about AI\nWhat the most common deployment challenges are\nBuilding the right AI roadmap to showcase a win\nStories of health systems that have demonstrated well defined AI strategies\nHow to get started in as little as 30 days\n\n\n\nSpeakers \nDr Clifford GoldsmithNational Director for the Provider Industry in the U.SMicrosoftSamir ManjureCo-Founder and CEOKenSci\n  \n  \nSupported by \n \n  \n     \n  \n \n  URL:https://ai-med.io/event/on-demand-what-derails-ai-deployments-10-lessons-from-3-countries/ CATEGORIES:Webinar ATTACH;FMTTYPE=image/jpeg:https://ai-med.io/wp-content/uploads/2020/01/shutterstock_1060638626.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20190613T080000 DTEND;TZID=UTC:20190613T170000 DTSTAMP:20260429T133611 CREATED:20200127T104109Z LAST-MODIFIED:20210902T143454Z UID:24144-1560412800-1560445200@ai-med.io SUMMARY:On-Demand: Real world examples of connected health applications in maternal care: a frontline discussion on the case of obstetric and gynecologic care DESCRIPTION:Abstract:\n\nAccording to the World Health Organization (WHO)\, every day around the world about 830 women die from preventable causes related to pregnancy and childbirth. That’s staggering at more than 300\,000 fatalities per year.\n\nNinety-nine percent of these avoidable deaths occur where resources are scarce and access to healthcare limited. Join us for a talk with two leading gynaecologists and Global head of population health worldwide at HP Inc. to hear about the award winning WONDER project and frontline applications transforming maternal care.\n\nAt the end of this webinar\, you will be able to:\n\n             Recognize the opportunities and challenges in maternal care\n             Describe the WONDER project and its impact on both rural and urban populations\n             Outline the necessary steps to prevent maternal mortality within your own community\n\nClick here to view on demand\n\nSpeakers\n\nDr. Narmadha KuppuswamiObstetrician-gynecologistFran Ayalasomayajula\, MPH\, PMP (Moderator)Head of Population Health Worldwide\, HP Inc.Naila Siddiqui Kamal\, MDSenior Clinical LecturerImperial College London\n\nSupported by URL:https://ai-med.io/event/on-demand-real-world-examples-of-connected-health-applications-in-maternal-care-a-frontline-discussion-on-the-case-of-obstetric-and-gynecologic-care/ CATEGORIES:Webinar ATTACH;FMTTYPE=image/jpeg:https://ai-med.io/wp-content/uploads/2020/01/medical-imaging.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20190507T080000 DTEND;TZID=UTC:20190507T170000 DTSTAMP:20260429T133611 CREATED:20200127T103524Z LAST-MODIFIED:20210902T143240Z UID:24140-1557216000-1557248400@ai-med.io SUMMARY:On-Demand: "Putting connected health technologies into practice: a frontline discussion on the case of cardiac care" DESCRIPTION:Abstract\n\nJoin us for this insightful look at the reality of connected health on the ground and perspectives on the way forward from three (3) leading cardiologists.\nThis talk will offer understandings of global differences and challenges presented in a variety of health systems with insights from the UK\, USA and Ghana.\nYou’ll discover pragmatic ways to engage your medical facility in integrating connected health technology solutions.\n\nClick here to view on demand\n\nAt the end of this webinar\, you will be able to:\n\n Recognize your internal champions and value the naysayers\n Identify opportunities in the clinical workflow and care continuum\n Recite optimal pathways for integrating technology\n Describe the dynamics of scaling connected health programs\n\nView on demand\n\nSpeakers\nDr. Seth MartinCardiologist and Assistant Professor of MedicineJohns Hopkins University School of MedicineSean MatheikenConsultant Vascular Surgeon and Information Technology Entrepreneur.NHS\, Royal Free LondonDr. Jacques KpodonuCardiac Surgeon Beth Israel Deaconess Medical Center\nSupported by URL:https://ai-med.io/event/on-demand-putting-connected-health-technologies-into-practice-a-frontline-discussion-on-the-case-of-cardiac-care/ CATEGORIES:Webinar ATTACH;FMTTYPE=image/jpeg:https://ai-med.io/wp-content/uploads/2020/01/Headline-image.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20190326T080000 DTEND;TZID=UTC:20190326T170000 DTSTAMP:20260429T133611 CREATED:20200127T102715Z LAST-MODIFIED:20210902T142111Z UID:24138-1553587200-1553619600@ai-med.io SUMMARY:On-Demand: "How to Shape and Set Your Healthcare AI Goals" DESCRIPTION:Abstract\nArtificial Intelligence (AI) presents a tremendous opportunity to impact patient lives and improve outcomes. But as with any new tech\, there is risk involved. Hospitals may direct their AI resources to the wrong areas. They may misalign AI investments to the needs of the organization. They may invest in solutions that aren’t proven or simply don’t work.Avoid these pitfalls.\nListen to AI leaders from Microsoft and Jvion in our webinar “How to Shape and Set Your Hospital’s AI Goals.”\n\nClick here to view on demand\nWhat You Will Learn\n\n\n\n\n\n What to expect from the AI healthcare market over the next 2 to 5 years\n How to define an AI strategy that aligns to organizational goals\n The key components of a successful\, lasting AI strategy\n The next steps to operationalizing an AI strategy effectively\n\n\n \n\nSpeakers\n\nJohn Frownfelter\, MD\, FACPChief Medical OfficerJvionMolly K. McCarthyNational Director\, US Provider Industry and Chief Nursing OfficerMicrosoft\n\nSupported by\n\n    URL:https://ai-med.io/event/on-demand-how-to-shape-and-set-your-healthcare-ai-goals/ CATEGORIES:Webinar ATTACH;FMTTYPE=image/jpeg:https://ai-med.io/wp-content/uploads/2020/01/shutterstock_13991288631.jpg END:VEVENT END:VCALENDAR