Combined with additional algorithms, the predictive model, described in the current issue of the journal Nature Biotechnology,
The model was front-loaded with de-identified data on millions of patients gleaned from health care claims information submitted by employers, health plans and hospitals - a foundation model strategy similar to that of generative AI tools like ChatGPT.
In a study involving thousands of simulated cases of patients with chest pain, ChatGPT provided inconsistent conclusions, returning different heart risk assessment levels for the exact same patient data.