Probast+ai: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods
Publication date
2025-03-24
Authors
Moons, Karel G M
Damen, Johanna A A G
Kaul, Tabea
Hooft, L.
Navarro, Constanza L Andaur
Dhiman, Paula
Beam, Andrew L
Van Calster, Ben
Celi, Leo Anthony
Denaxas, Spiros
Editors
Advisors
Supervisors
Document Type
Article
Metadata
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License
cc_by_nc
Abstract
Keywords
General Medicine, Journal Article
Citation
Moons, K G M, Damen, J A A, Kaul, T, Hooft, L, Andaur Navarro, C, Dhiman, P, Beam, A L, Van Calster, B, Celi, L A, Denaxas, S, Denniston, A K, Ghassemi, M, Heinze, G, Kengne, A P, Maier-Hein, L, Liu, X, Logullo, P, McCradden, M D, Liu, N, Oakden-Rayner, L, Singh, K, Ting, D S, Wynants, L, Yang, B, Reitsma, J B, Riley, R D, Collins, G S & van Smeden, M 2025, 'Probast+ai : an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods', BMJ (Clinical research ed.), vol. 388, e082505. https://doi.org/10.1136/bmj-2024-082505