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✅   PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods

Health

In healthcare, prediction models or algorithms (hereafter referred to as prediction models) estimate the probability of a health outcome for individuals. In the diagnostic setting—including screening and monitoring—the model typically aims to predict or classify the presence of a particular outcome, such as a disease or disorder. In the prognostic setting the model aims to predict a future outcome—typically health related—in patients with a diagnosis of a particular disease or disorder, or in the general population. The primary use of a prediction model in healthcare is to support individual healthcare counselling and shared decision making on, for example, subsequent medical testing, referral to another healthcare professional or facility, treatment, discharge from hospital, or lifestyle changes.

BMJ     Mar 24, 2025