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.
Living intelligence systems can sense, learn, adapt and evolve through the use of AI, advanced sensors and biotechnology, and C-suite leaders should become familiar with it.
Recent partnerships that the University of California San Francisco’s (UCSF) Department of Radiology and Biomedical Imaging and Sutter Health, respectively, have formed with GE HealthCare have the potential to drive innovation, reduce costs and improve processes.
Each year we review a slew of health care outlooks and, after sifting through them, here are a few of the more interesting hypotheses.
In the latest issue of AHA's Trustee Insights newsletter, James Liggins, Jr., 2025 AHA Committee on Governance chair and board chair of Bronson Healthcare System, shares how boards need to prepare for integrating artificial intelligence and other emerging governance issues.
Health care executives continue to reimagine and reshape their organizations. Their ideas were developing in real time during last week’s J.P. Morgan Healthcare Conference, with artificial intelligence (AI) applications underpinning many of the new and expanding alliances.
The AHA Center for Health Innovation released a new report to guide hospital and health system executives on using artificial intelligence and AI-powered technologies to transform their organizations’ operations.
The AHA’s recently released “Building and Implementing an Artificial Intelligence Action Plan for Health Care” provides a playbook for allocating resources that prioritize patient access, revenue cycle management and operational throughput.
The Department of Health and Human Services has released its Strategic Plan for the Use of Artificial Intelligence in Health, Human Services, and Public Health, a guide that seeks to clarify regulatory oversight, coverage and payment determinator processes for AI as well as refine existing…
A team at Vanderbilt University Medical Center is setting out on a two-year project that aims to make AI chatbots more effective — and more empathetic — when part of behavioral health care treatment.
The Food and Drug Administration issued draft guidance Jan. 6 on marketing submissions and lifecycle management for artificial intelligence-enabled devices.