Artificial Intelligence

NVIDIA Healthcare this week announced integration with Amazon Web Services for NIM, its suite of microservices designed to empower foundational models in the realms of drug discovery, medical imaging and genomics.

Discover how two leading healthcare organizations are solving some of the industry’s toughest challenges using AI.  

By using artificial intelligence to analyze patient data and provide targeted recommendations, health systems can build a more intuitive, user-friendly experience that empowers patients to make informed decisions about their care, one expert says.

Targeting the most time-consuming admin work can help boost job satisfaction.

Researchers proposed that integrating AI with expert knowledge could automate medical coding to enhance billing accuracy and reduce administrative costs, but they found available large language models vague and error-prone.

A surgeon at OrthoCarolina tells the story of implementation of just such a system at his practice, integrated with their Epic EHR – and points the way where artificial intelligence can help, not replace, professional coders.

The California Nurses Association recently organized a San Francisco protest aimed at Kaiser Permanente, saying its use of artificial intelligence in patient care is a dangerous shortcut. One new report offers perspective that could build nurses' trust.

At NYU Langone Health, physicians record videos with post-hospital care plans for patients to help improve treatment compliance. Dr. Jonah Feldman, the health system's medical director for clinical transformation and informatics, explains.  

Also, Reperio Health partners with Uber to bring preventive care screening kits to homes and workplaces.

The U.K.'s National Health Service is testing an artificial intelligence platform that leverages clinical guidelines to find undiagnosed and misdiagnosed cancer patients with cachexia, says Dr. Vibhor Gupta, director and founder of Pangaea Data.