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.
Three Rivers Hospital is using artificial intelligence and machine learning to help improve cancer survival outcomes in central Washington’s rural Hispanic population.
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.
The global state of artificial intelligence (AI) in health care is moving toward systemic reinvention, not just innovation. At the same time, health care finds itself in an unprecedented moment of strain. Enterprises are excited to experiment and transform, but they face serious risk of taking…
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.
Artificial intelligence (AI) is proliferating wildly across every industry. Health care is unique because it concerns patients’ safety, care quality and health outcomes, there are many different experts in the field, and patient privacy is paramount. Hear how Sean Sarles, MSN, RN, CCRN, associate…
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…