Abstract: According 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. Ninety-nine percent of these avoidable deaths occur where resources are
Abstract With 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. They may face difficulty finding the right
Abstract In 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 b
Abstract: Talk 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 va
Abstract: In spite of the promise it holds and the anticipation it has generated, artificial intelligence (AI) in medicine is not immune to bottlenecks translating the technology from research to clinical practice. Medical professionals are often not actively engaged in developing these AI-based app
Date: January 30th: 9am PST - 10am PST Description This webinar will follow previous AIMed Talks format where we will discuss, in depth, the issues around Data Rights in Healthcare now that Machine Learning is becoming more prevalent. The following question will be discussed: How can we create a res
Date: February 18th 2020 Time: 8am - 9am PST / 11am - 12pm EST / 4pm-5pm GMT Description: Artificial Intelligence and Machine Learning (AI/ML) in the clinic is where the rubber hits the road. How are practitioners actually using AI/ML in their daily practice? What are the new challenges that provide
Date: March 31st 2020 Time: 1pm- 2pm ET /10am - 11am PDT / 6pm-7pm BST Description: The role of artificial intelligence in healthcare continues to evolve as does the definition of what it is and is not. This state of flux has contributed to slower than desired adoption, unmet expectations, and gap
Abstract The coronavirus pandemic has drastically accelerated the deployment of digital health solutions. Indeed, governments and health ministries across the world have been inundated with offers from tech firms wanting to do their bit in the fight against COVID-19. However, there is a risk that un
Abstract COVID-19 and its pandemic has disrupted our societies in a major way. Healthcare innovation and artificial intelligence are more needed than ever before as vital forces to meet the myriad of challenges of pandemics. This special seminar will gather some of the best minds in both innovation
