acePROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods
The Prediction model Risk Of Bias ASsessment Tool (PROBAST) is used to assess the quality, risk of bias, and applicability of prediction models or algorithms and of prediction model/algorithm studies. Since PROBAST’s introduction in 2019, much progress has been made in the methodology for prediction modelling and in the use of artificial intelligence, including machine learning, techniques. An update to PROBAST-2019 is thus needed. This article describes the development of PROBAST+AI. PROBAST+AI consists of two…
PROBAST+AI provides a unified tool that lets stakeholders assess quality, bias, and applicability of both regression and AI-based prediction models in healthcare.
The original 2019 PROBAST tool had become outdated given rapid progress in prediction modelling methodology and AI including machine learning.
Evidence
- Peer-reviewedBMJ2025-03-24
How should this claim be treated?
Truvace Impact Record TRV-2026-0537, v1: “PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods.” Truvace, 2026-07-24. /record/TRV-2026-0537 (accessed at citation time). sha256 66c6f5b04957374a…
Calibration history
Every change to this record since certification, in the open. None yet — the reading has held since it entered the record.
Certified into the record
How to verify without trusting this page
Fetch the canonical text of any version from /api/record/TRV-2026-0537 and hash it yourself — for example shasum -a 256 on the saved canonical field. The result must equal content_hash, and each version’s text ends with prev:followed by the prior version’s hash (version 1 chains to 64 zeros). If a single character of any version had been altered since certification, the chain would not reproduce.