AI algorithms analyse complex medical images with speed and precision, supporting early disease detection.Radiology and ...

Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global population. It is characterized by a persistent low mood, disruptions in typical ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Among patients with chronic noncancer pain, a novel machine learning model effectively predicts opioid use disorder risk.

In the pursuit of solutions to complex global challenges including disease, energy demands, and climate change, scientific ...

A new AI tool that accurately predicts the need for a feeding tube could transform patient care and improve quality of life ...

There is an emerging convergence between atherosclerotic cardiovascular disease and cancer, driven by shared risk factors and overlapping pathophysiologic mechanisms. Traditional factors, such as ...

WASHINGTON (AP) — The Food and Drug Administration commissioner's effort to drastically shorten the review of drugs favored by President Donald Trump's administration is causing alarm across the ...

Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...

WASHINGTON (AP) — A plan to slash drug review times at the Food and Drug Administration is sparking deep concerns among agency staffers and outside experts, with some saying the poorly defined effort ...