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Closing the Loop in Healthcare AI: From Prediction to Verified Action

This story is from 2026-10-11. It is preserved in the archive; the latest stories are on the live feed.

Healthcare AI evaluation often focuses on model outputs, including discrimination, calibration and predictive performance. These measures are important, but they do not fully explain whether a system improves clinical practice. Between an AI recommendation and a patient outcome lie several distinct…

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  1. 2026-10-11 09:27 · DEV Community — Machine Learning
    Closing the Loop in Healthcare AI: From Prediction to Verified Action

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