AI was intended to save patients cost in health care. However, experts say it's costlier than expected because humans need to help monitor it.

If tech evangelists are right, the technology will become ubiquitous -- and profitable. The investment firm Bessemer Venture Partners has identified some 20 health-focused AI startups on track to make ...

A newly compiled dataset of nearly one billion images of auroras is helping researchers categorize—and perhaps ultimately ...

From facial recognition tools to algorithms that identify diseases, agencies reported that they didn't know enough about what ...

The agency wants applicants to demystify their algorithms and provide specific details about what the models do, how they’re ...

They found a new way to diagnose diabetes using voice samples of all things. The Colive Voice study, conducted by an ...

Shinoy Bhaskaran, an eminent figure in data engineering and AI-driven frameworks, has co-authored a groundbreaking research ...

Those who move around in bed and thrash about during sleep could be exhibiting an early sign of dementia or Parkinson's ...

A team has developed a new method that facilitates and improves predictions of tabular data, especially for small data sets with fewer than 10,000 data points. The new AI model TabPFN is trained on ...

AI-powered algorithm can analyze video recordings of clinical sleep tests and more accurately diagnose REM sleep behavior disorder.

A Mount Sinai-led team of researchers has enhanced an artificial intelligence (AI)-powered algorithm to analyze video ...

A recent Maine Compass ( “AI at a frightening crossroads,” Dec. 31) asks if the technology leaders creating today’s ...