Machines don’t have eyes, but you wouldn’t know that if you followed the progression of deep learning models for accurate interpretation of medical images, such as…
Cancer screening typically relies on a reductionist, all-comer population approach, with screening eligibility based predominantly on age. This approach does not account for the multidimensional…
Betalan Meskó and Eric Topol - Abstract The rapid advancements in artificial intelligence (AI) have led to the development of sophisticated large language models (LLMs)…
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…
Three years into the pandemic, roughly 65 million people suffering from Long COVID worldwide are still looking for answers to the mix of symptoms that…
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…