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

Heart specialists at Mayo Clinic today presented new research at the 2026 Society of Thoracic Surgeons Annual Meeting that ...

Cardiovascular disease continues to be the leading cause of death worldwide. To save lives, constantly improving diagnostic ...

Clinical and health care resource use burden were greater among patients with diagnosed hypereosinophilic syndrome or predicted hypereosinophilic syndrome via machine learning vs. those without the ...

Researchers report redo heart surgery in adults with congenital heart disease remains high-risk, highlighting the need for a ...

Heart specialists at Mayo Clinic today presented new research at the 2026 Society of Thoracic Surgeons Annual Meeting that redo surgery for adults with congenital heart disease (CHD) remains high-risk ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Explore the implications of AI errors in health care and the necessity for human oversight in drug prescribing.

A novel multi-task XGBoost model shows robust overall performance in predicting antimicrobial resistance in common gram-negative pathogens.

WPI Professor Dmitry Korkin and researchers in Senegal are using a unique type of artificial intelligence (AI) to develop a ...

An international research consortium, led by scientists at VIB and UGent, has developed a new platform that could change how ...