Artificial Intelligence (AI)
黑料正能量 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.
In Session II, we delve into cyber transformation in the age of AI, evaluate both the benefits and the risk of the use of generative AI.
Joining me for the first dialogue in 2024 is Janice Nevin, M.D., president and CEO of ChristianaCare, based in Wilmington, Del., and a former member of the AHA Board of Trustees.
The influx of artificial intelligence (AI) in health care is here to stay, yet there is considerable debate about the best and most effective ways to safely employ it.
In a recently released Executive Insights report, 鈥淩ising Demand for Surgeries and Advancing the Quintuple Aim Through Innovation,鈥 from the AHA Center for Health Innovation, clinical leaders across the country share their insights on how to integrate artificial intelligence (AI) and other鈥
Health care artificial intelligence action plan defines people, process and technology essentials, ROI, and AI use cases to transform care delivery.
As health care continues to transform in 2024, executives will face challenges related to finances, technology, workforce and other areas. Across the field, thought leaders have been busy offering their best guesses, insights and predictions for how this year is likely to shake out.
Hospitals are working on workplace violence prevention using technology and training to mitigate risk and redesigning facilities to prioritize safety.
Hospitals are optimizing surgical and perioperative performance and advancing the Quintuple Aim with AI, robotics, visualization and EHRs.
The House Energy and Commerce Subcommittee on Health Nov. 29 held a hearing to explore how medical devices and hospitals are using artificial intelligence and what Congress should consider as AI in health care evolves.
This document recommends guidelines for providers of any systems that use artificial intelligence (AI), whether those systems have been created from scratch or built on top of tools and services provided by others. Implementing these guidelines will help providers build AI systems that function as鈥