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Using AI to Guide AI

Since arriving at Yale School of Medicine in 2019 as an internal medicine resident, Evangelos Oikonomou, MD, DPhil—now an assistant professor of medicine (cardiovascular medicine)—has focused his research on developing artificial intelligence (AI) applications that can interpret traditional, routine cardiac tests to better assist providers in diagnosing cardiovascular diseases. In a new paper published in NEJM AI, Oikonomou, together with Rohan Khera, MD, MS and their colleagues from the Yale Cardiovascular Data Science (CarDS) Lab, shared a new AI-enabled clinical decision support tool, TARGET-AI, designed to help clinicians and their larger health systems use AI more effectively.

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