Artificial Intelligence (AI)
American Hospital Association resources on artificial intelligence (AI) and machine learning, their impact on the health care field, and AI and machine learning innovation in hospitals and health systems.
The AHA supports AI policy frameworks that balance flexibility to drive market-based innovations with appropriate safeguards to protect privacy and patient safety.
The AHA provided recommendations to the Food and Drug Administration Dec. 1 in response to a request for information on the measurement and evaluation of artificial intelligence-enabled medical devices.
The Trump administration issued an executive order (https://www.whitehouse.gov/presidential-actions/2025/11/launching-the-genesis-mission/) Nov. 24 launching the Genesis Mission, an artificial intelligence initiative focusing on scientific research.
AI-powered health care: optimized clinical workflows, decision support, personalized treatments and proactive patient engagement for better outcomes.
A new study from Johns Hopkins Medicine offers hospitals a glimpse of how artificial intelligence (AI) could make prevention programs more accessible without compromising results.
The health care field has entered a period of disruption, from sweeping coverage changes to the rise of artificial intelligence (AI)-enabled tools.
AHA leaders tomorrow will participate in a series of panels during the International Hospital Federation’s 48th annual World Hospital Congress in Geneva.
Philadelphia-based Jefferson Health has unveiled an artificial intelligence (AI) strategy aimed at reclaiming over 10 million hours of clinician time by 2028, allowing clinicians to focus more on patients and less on administrative tasks.
For CEOs and health system C-suite leaders, the implications of the digital divide of predictive artificial intelligence (AI) are twofold: Competitive pressure is rising and inequities in care and operations may deepen unless addressed.
There has been a flurry of activity in technology partnerships designed to streamline administrative processes, advance value-based care models and other tools to improve operations.