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 ...

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 ...

A "health-focused experience" inside ChatGPT is designed to help you understand medical information and prepare for ...

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 ...

Home Markkula Center for Applied Ethics About the Center Center News Exploring AI in Health Care and the Promise and Peril for Patients and Society Quote from Guadalupe Hayes-Mota on Ethics and AI in ...

Haoyu Cheng, Ph.D., assistant professor of biomedical informatics and data science at Yale School of Medicine, has developed a new algorithm capable of building complete human genomes using standard ...

Nearly 23 million Americans get health insurance through one of the online “exchanges” (also called “marketplaces”) that operate under the 2010 Affordable Care Act, or ACA. Most receive subsidies from ...

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 ...

A team of UCSF researchers successfully tested several mainstream AI agents for the ability to analyze big data on women's ...

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 ...