A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

The fax machine is still the principal means of communication in Canadian health care. In the age of AI, our health infrastructure remains firmly rooted somewhere between the 19th and 20th centuries, ...

The March 2026 issue of NEJM Catalyst Innovations in Care Delivery is a special theme issue on the hard work of implementing artificial intelligence in real-world ...

A new international study suggests most clinical artificial intelligence (AI) tools are not yet ready for safe, equitable use ...

South Korea could significantly strengthen the competitiveness of its bio-health industry by leveraging its abundant, high-quality bio data through artificial intelligence (AI), a central bank report ...

A Michigan-based deliberative study found strong public support for patient-informed artificial intelligence (AI) labeling in health care, emphasizing transparency, privacy, equity, and safety to ...

Republicans think patients should be shopping for better health care prices. The party has long pushed to give patients money and let consumers do the work of reducing costs. After some GOP lawmakers ...

When used as intended, an AI stethoscope enhanced the detection of cardiovascular disease — but low uptake and workflow challenges hampered effectiveness in a large pragmatic trial.

Generative AI tools stunned researchers by building accurate preterm birth prediction models far faster than human teams — sometimes even outperforming them. The breakthrough suggests AI could ...

Organizers in Monterey Park took inspiration from other US cities to fight against the construction of a giant datacenter When a southern California city council proposed building a giant datacenter ...