A Yale research team has created a new imaging technique that reveals the hidden connections between aging, disease, and ...

One way AI can be meaningful in health care is in scheduling follow-up appointments, ensuring that serious cases don't fall ...

Hospitals do not always have the opportunity to collect data in tidy, uniform batches. A clinic may have a handful of ...

Abstract: The detection of fake images has become increasingly critical due to the proliferation of deepfakes and sophisticated image manipulation techniques used for misinformation, fraud, and public ...

New technology in digital devices takes steps to help seniors avoid falls, serious injuries, medical expenses.

As neural implant technology and A.I. advance at breakneck speeds, do we need a new set of rights to protect our most ...

Abstract: Diabetes and its complications, especially Diabetic Retinopathy (DR) and Diabetic Nephropathy (DN) is a big challenge to the global healthcare system and needs accurate predictive models to ...

Researchers explored how machine learning and quantum computing can be used to improve early detection of chronic kidney ...

The historic first image of the Messier 87 (M87) supermassive black hole, captured using the Event Horizon Telescope, has been sharped using a machine learning technique called PRIMO. PRIMO is short ...

Medical device makers use AI to turn EU regulatory challenges into competitive advantages via supply chain optimization.

OCR, which is now is being replaced by IDP, Intelligent Document Processing, is moving beyond back-office tasks like invoice processing into front-office use cases like KYC (Know Your Customer) checks ...

For many people, the rise of artificial intelligence–generated images has sparked anxiety—about misinformation, deepfakes and the blurring line between what's real and what's not. But in the world of ...