Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...

A poor night's sleep portends a bleary-eyed next day, but it could also hint at diseases that will strike years down the road ...

A poor night's sleep portends a bleary-eyed next day, but it could also hint at diseases that will strike years down the road ...

Scientists at Mount Sinai have created an artificial intelligence system that can predict how likely rare genetic mutations are to actually cause disease. By combining machine learning with millions ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

First, institutions must ensure that synthetic datasets are continuously recalibrated against fresh, real-world evidence. The world moves, behaviors shift, economies cycle and disease patterns evolve.

Twenty-five years of research into complex systems shows why artificial intelligence will always produce errors in healthcare decisions, regardless of technological improvements or funding.

Donald Trump’s destruction of the civil service is a tragedy not just for the roughly 300,000 workers who have been discarded ...

In the past decade, AI’s success has led to uncurbed enthusiasm and bold claims – even though users frequently experience its ...