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.
During a Q&A with AHA Immediate Past Board Chair John Haupert at the AHA Annual Meeting in Washington, D.C., Sanjay Gupta, M.D., chief medical correspondent for CNN, author and neurosurgeon, highlighted the need to learn more about brain health and how it can be measured.
While artificial intelligence is not new to health care, the current inflection point is an opportunity the health care sector cannot afford to miss, a panel of experts told hospital leaders April 14.
Health Services Research, the flagship publication of AHA’s Health Research…
Demonstrating AI's potential to improve operational efficiency and patient care, a top hospital became a pioneer in applying generative AI at scale.
AHA Leadership Scan: A Series of Virtual Panel DiscussionsKnock Out the Noise on Artificial Intelligence How to Responsibly Leverage AI to Reinvent Health Care
The Administration March 28 issued a government-wide policy to manage artificial intelligence use and risks within federal agencies.
The AHA and Concord Health Partners have compiled this collection of resources to provide more information about innovative solutions to key issues.
Ethical AI Deployment in Hospital Systems Maximizing equity and safety for stakeholders Tuesday, May 7, 2024 1 - 2 p.m. Eastern; noon - 1 p.m. Central; 10 - 11 a.m. Pacific
At the recent HIMSS24 tech conference, issues like how tech companies and provider organizations can work together to accelerate optimal uses of AI, the need for guardrails to ensure the ethical and responsible use of AI and how cloud-based systems can be used to improve diagnostic efficiency and…
Sixteen hospitals and health systems have partnered with Microsoft to form the Trustworthy & Responsible AI Network (TRAIN), which aims to operationalize principles to improve the quality, safety and trustworthiness of artificial intelligence in health.