Literature
Explainable AI for predicting cardiovascular outcomes using EHRs
Timely article on concept of clinician-friendly tool using explainable AI methodologies
Timely article on concept of clinician-friendly tool using explainable AI methodologies
Siemens Healthineers’ Mario Orsini discusses the impact of artificial intelligence on clinical medicine, challenges around adoption of AI solutions, and measuring ROI.
In the second part of a fascinating interview, Eric Topol reveals how AI can eliminate clinician burnout, his shock at receiving death threats and the despair of watching America’s ‘truly shameful’ response to the pandemic
Legendary cardiologist, scientist, researcher and author, Eric Topol, on a traumatic childhood and the challenges of being a late developer. Part one of a revealing interview
Waitlist model developed by University of Ottawa Heart Institute to prioritize high-risk patients
Pediatric cardiologist Dr. Michael Silberbach on using cvi42, the signature tool developed by advanced cardiac imaging company CircleCVI, and how AI will influence cardiology
Interventional Cardiologist and AI Innovator, Dr. Rahul Sharma reveals how the CardioCare platform, an AI-driven platform designed by egnite, improves efficiency and patient care
Mike Dobbles, Chief Technology Officer of egnite, Inc, shares his unique journey from a satellite system expert to a MedTech guru
New York-based Cleerly launches to help provide a digital-first approach to heart attack prevention