Artifical Intelligence/Machine Learning

Jan. 13, 2025

HHS provides a roadmap for AI in health intending to improve individuals’ lives

Researchers: Hospitals Need to Improve Accuracy, Bias Measurement in AI

Jan. 8, 2025

Peering Into 2025: Will Next Year Be AI’s Huge Breakthrough Year?

Dec. 20, 2024

Could an Effective AI Sepsis Tool Soon Be Widely Commercially Available?

Dec. 13, 2024

Editor's Notes: What the Trajectory of AI in Radiology Says About the Unexpected in Healthcare

Dec. 11, 2024

Researchers conclude that AI adoption in healthcare could alter the scope of federal spending

Utilizing AI in Healthcare Could Impact Economy, Researchers Say

Dec. 4, 2024

Artifical Intelligence/Machine Learning

Mount Sinai Center to Combine AI, Data Science, Genomics

Nov. 26, 2024

Washington U. School of Medicine, BJC Health Launch Center for Health AI

Nov. 14, 2024

Healthcare AI Challenge to Crowdsource Input from Clinicians

Nov. 13, 2024

Healthcare Predictive Analytics Market Will Continue to Grow, Research Concludes

Nov. 7, 2024

Google Cloud and Harris Poll share new survey results

Report: Administrative Burden on Healthcare Workers Leads to Burnout

Oct. 17, 2024

Penn Researchers Seek to Develop More Accurate, Transparent AI Systems

Oct. 15, 2024

Advancing Care Around Diabetic Retinopathy Screening

Oct. 3, 2024

One Medical Group’s Experience with AI in the Value-Based Context

Sept. 4, 2024

A senior leader at a multispecialty group in Missouri shares his group’s experience with AI

Why UT Health San Antonio, UTSA Created First M.D./M.S. Program in AI

Aug. 1, 2024

One goal of new dual-degree program is to break down silos between clinicians and data scientists

UW Health, Epic Host National Roundtable on Harnessing AI in Healthcare

July 31, 2024

The roundtable included discussions on responsible AI adoption, understanding AI's limitations, infrastructure investment, and addressing the healthcare industry’s burnout crisis...

CHAI Seeks Feedback on Responsible Health AI Framework

June 26, 2024

Framework includes criteria to evaluate standards across the AI lifecycle — from identifying a use case and developing a product to deployment and monitoring

Mount Sinai Wins Hearst Prize for AI-Based Nutrition Application