A key challenge for AI-reliant medical devices is the amount of data needed to train their models. In the U.S., such ...

The study of Oral Potentially Malignant Disorders (OPMDs) is an essential facet of oral health, recognized for its high risk ...

An international, multidisciplinary team of leading neuro-oncology researchers and clinicians has released new ...

Although the future of AI in health care is somewhat predictable, its current application suggests the delivery of patient ...

Medscape’s survey of 5000 European doctors revealed a mix of emotions about the AI revolution, while experts predict that AI ...

A 'deep learning' artificial intelligence model can identify pathology, or signs of disease, in images of animal and human tissue much faster, and often more accurately, than people. The development ...

Researchers optimized healthcare AI for diagnoses, analyzed gender bias in image searches and found tiny DNA circles that ...

Data governance is a key concern when it comes to using artificial intelligence in healthcare. Here’s what organizations need ...

The company began by using AI to turn terabytes of information into 150-word synopses of patient histories, updated every two ...

A "deep learning" artificial intelligence model developed at Washington State University can identify pathology, or signs of disease, in images of animal and human tissue much faster, and often more ...

CHARLOTTESVILLE — With hospitals already deploying artificial intelligence to improve patient care ... while the other half ...

Mass General Brigham, Emory and other providers will assess different AI models from companies like Google, Microsoft and ...