Saurabh Jha & Eric Topol - In 2016, Geoffrey Hinton, a pioneer of deep learning artificial intelligence (AI), predicted radiologists’ extinction within 5 years. 7…
The exceptionally rapid development of highly flexible, reusable artificial intelligence (AI) models is likely to usher in newfound capabilities in medicine. We propose a new…
Cardiologist Dr. Eric Topol, chats with the Glaucomfleckens about how artificial intelligence will effect the medical profession in positive and negative ways. Listen to the…
Dr. Eric Topol, now a three-time returning guest on the Fixing Healthcare podcast, discusses 21st-century lessons in leadership. In this episode, Topol talks about the future…
In 2023, radiologists in hospitals around the world will increasingly use medical images—which include x-rays and CT, MRI, and PET scans—that have been first read and…
Eric Topol is a leading health expert whose writing and explainers about Covid-19 have helped people better understand the complexities of the global pandemic. As…
Julian N. Acosta et al. - Abstract The increasing availability of biomedical data from large biobanks, electronic health records, medical imaging, wearable and ambient biosensors,…
Rayan Krishnan et al. - Abstract The development of medical applications of machine learning has required manual annotation of data, often by medical experts. Yet,…