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…
David Jones et al. - Chronological age can differ from biological age, particularly in Alzheimer's disease (AD) and related neurodegenerative disorders. By training models with…
Jennifer M Radin et al. - Background Traditional viral illness surveillance relies on in-person clinical or laboratory data, paper-based data collection, and outdated technology for…