The Clinical Utility of AI-Based Prediction and Stratification Models.

AI-based prediction and stratification models should be judged by trustworthiness, transportability, and usefulness at the point of care, not hype.

• Why it matters: The gap is that AI in clinical settings is often promoted without clear evidence of reliability, generalizability, or practical value where decisions are made.
• What they did: The article proposes a “prediction without hype” strategy, evaluating models on whether they are trustworthy, transportable, and useful at the point of care.
• The result: This framework guides how to assess clinical AI so that only models meeting these criteria are considered fit for real-world use.

AI summary of the abstract · may contain errors · not medical advice · read the paper.