AI & ML Intelligence

From the custodian to the CEO, everyone is required to take a homegrown course – created with generative artificial intelligence – to prepare for transformation coming to healthcare, the VP of planning explains.

Providers should push hard to maximize the use of generative AI and natural language processing tools – but validate performance for each system rigorously before making it available for widespread use, a physician author says.

The Boston health system's director of AI operations discusses some challenges and best practices for integrating large language models into research and operational tasks while explicitly excluding direct clinical care.

Stanford Health Care's Troy Foster believes the technology has enormous potential but still is a work in progress. He explains why providers will need to properly socialize and monitor the rollout and implementation of ambient voice.

AI-enabled computer vision could be a game-changer, says one CEO, who also discusses the risks of generative AI and the promise of automated transcription, which is already proving itself.

Implementing AI in healthcare settings requires thoughtful consideration of the problems it aims to solve and a clear understanding of the potential impacts on clinical workflows and provider wellbeing, the digital health chief advises.

One of the top authorities on pop health, Dr. Michael Dulin of the University of North Carolina at Charlotte, explains how AI can curate complex data, evaluate risk and predict changes.

At the upcoming HIMSS AI in Healthcare Forum, Chief Information and Digital Officer Sunil Dadlani will speak to other C-suite leaders about bridging the gap between artificial intelligence-enabled security and cyber defense.

Humberto Farias of Concepta Technologies discusses his new Machine Advancement and General Intelligence Center and offers AI advice for healthcare C-suite executives and other health IT decision makers.

A CEO who specializes in this combination reveals how artificial intelligence has the ability to help analyze and summarize key virtual care consultation points, detect patterns in patient data to deliver more personalized care, and much more.