In a nationwide survey of 3,500 patients, those with higher electronic health literacy, educational attainment or of a younger age were “significantly” likelier to see AI as beneficial.

What attributes tend to nudge clinicians toward accepting AI into their work lives? Several, of course—but the most broadly determinative can be trimmed to just two. 

Give healthcare workers AI to do their jobs and you might make them AI-dependent. Give them AI anyway?

An international team of researchers is calling on healthcare AI proponents to be more mindful of the technology’s unsuitability across much of the developing world. 

Use of the model could reduce unnecessary thyroid nodule biopsies by 40% or more, researchers suggest.

The authors tested out a variety of machine learning techniques, including large language models and more traditional algorithms. They focused on data that can be gathered prior to treatment, ensuring cardiologists know as much as possible before the procedure.

Nabil Dib, MD, founder of the International Society for Cardiovascular Translational Research, details resources to help doctors and startups navigate the shift from conducting research to commercializing new products and applications.

Overpromising AI capabilities to hospital stakeholders—now there’s a mistake healthcare AI enthusiasts have been known to make.