Balancing AI usage in healthcare: Yale introduces TARGET-AI

The tool aims to guide healthcare systems on when and how to deploy AI technologies responsibly.
Feb. 19, 2026

Yale School of Medicine assistant professor Evangelos Oikonomou, MD, DPhil and collaborators have trained an artificial intelligence (AI) model to act as clinical decision support for cardiovascular diseases, according to an announcement.

The tool, TARGET-AI, uses patient data to asses cardiovascular risk. The model was created to guide AI use in healthcare. It aims to help prevent AI overuse in clinical settings. Dr. Oikonomou told Yale that “We hope that health systems will begin using TARGET-AI to help determine when and how to deploy AI throughout their systems. Our goal is to help build the guardrails to maximize the precision of other AI detection tools.”

About the Author

Erin Brady

Managing Editor

Erin Brady is Managing Editor of Medical Laboratory Observer.

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