Scientific Research Publishing

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

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

Big data and human height: Scientists develop algorithm to boost biobank data retrieval and analysis

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 Globe and Mail

Data, data everywhere but nothing to connect it to health care

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, ...
NEJM Catalyst

From Promise to Practice: The Next Era of AI in Health Care

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 ...

Researchers expose safety gaps in AI tools for health care

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

NM Legislature day 8 recap: Boosting health care funds; ‘microgrid’ oversight

Add Yahoo as a preferred source to see more of our stories on Google. New Mexico Center on Law and Poverty Health Care Director Abuko Estrada on Jan. 27, 2026, spoke in support of House Bill 4, which ...
Santa Clara University

Exploring AI in Health Care and the Promise and Peril for Patients and Society

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 ...
The American Journal of Managed Care

Building Trust: Public Priorities for Health Care AI Labeling

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 ...
Becker's Hospital Review

3 ways rural hospitals are using AI to boost access

Faced with staffing shortages, administrative strain and geographic barriers, rural hospitals are increasingly adopting AI to expand care access and ease pressure on front-line teams. Rather than ...
NPR

Hospitals are posting prices for patients. It's mostly industry using the data

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 ...
Morningstar

Canada: Acute Care EHR & Digital Health 2026-What's Changing Now in Adoption, Implementation, Selection and Satisfaction - Black Book Research

New, Canada-wide evidence from a late-2025 pulse survey of 648 acute care stakeholders-plus a 2026-2030 buyer roadmap on interoperability-as-a-procurement-gate, data sovereignty, and tightening ...