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. 

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.

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

For the study, researchers had five diabetes specialists judge precision AI tools developed from a large, longitudinal dataset of patients’ individually expressed needs. 

The study's authors reviewed CCTA imaging results taken before and after radiotherapy, evaluating each image for signs of coronary calcification and inflammation. 

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Bill Gates wasn’t just wrong to suggest AI will make physicians unnecessary. He was reckless. 

Healthcare may finally have struck a healthy balance between AI hype and AI reality, according to a report from impartial observers who are also, indirectly at least, healthcare AI stakeholders.