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

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

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

A deep learning AI model developed by researchers significantly accelerates the detection of pathology in animal and human ...

In Belarus, the most rapid development of artificial intelligence is observed in medicine in image processing, speech recognition and ...

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 ...

Medical students should consider how AI could change the work physicians do (and get paid for) when choosing specialties.

The UChicago Medicine team will be led by Odunsi as co-principal investigator and includes Christopher Weber, Savas Tay, and ...

Dr. Anmol Kapoor, an expert in precision medicine and artificial intelligence, discusses AI-driven genomic analysis, blockchain in genomics, multi-omic integration, and navigating ethical and ...

Climate change is increasingly recognized as one of the most significant public health challenges of our time. In the United ...

With a federal grant in hand, researchers at the health system and national lab will try to hit fast forward on the long and ...

The Dunleavy Foundation, led by Harvard Medical School alum Keith R. Dunleavy, gave HMS $6 million to expand educational opportunities for leveraging artificial intelligence in health care.