Abstract Artificial 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
Abstract Join 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. This talk will offer understandings of global differences and challenges presented in a variety of health systems with insights from th
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
