When Clinical Judgment Becomes a Predictive Shortcut: Two Questions Clinical AI Must Answer Before Deployment
Read the original on arXiv AI →The article discusses how Clinical AI can predict outcomes based on data generated by existing clinical judgment, but such performance alone does not prove usefulness before recognition or across care processes. It proposes evidence requirements tailored to the intended use and information conditions, including state‑reference and proxy‑relative timing tests, to strengthen recognition claims. The framework aims to help hospitals determine whether the conditions that support performance are present when assistance is most needed, making questions that current evaluation practices overlook explicit and specifying the direct evidence required to answer them.
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