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

Karel G M Moons; Johanna A A Damen; Tabea Kaul; Lotty Hooft; Constanza Andaur Navarro; Paula Dhiman; Andrew L Beam; Ben Van Calster; Leo Anthony Celi; Spiros Denaxas; Alastair K Denniston; Marzyeh Ghassemi; Georg Heinze; André Pascal Kengne; Lena Maier-Hein; Xiaoxuan Liu; Patricia Logullo; Melissa D McCradden; Nan Liu; Lauren Oakden-Rayner; Karandeep Singh; Daniel S Ting; Laure Wynants; Bada Yang; Johannes B Reitsma; Richard D Riley; Gary S Collins; Maarten van Smeden

doi:10.1136/bmj-2024-082505

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

Karel G M Moons^*
, Johanna A A Damen
, Tabea Kaul
, Lotty Hooft
, Constanza Andaur Navarro
, Paula Dhiman
, Andrew L Beam
, Ben Van Calster
, Leo Anthony Celi
, Spiros Denaxas
, Alastair K Denniston
, Marzyeh Ghassemi
, Georg Heinze
, André Pascal Kengne
, Lena Maier-Hein
, Xiaoxuan Liu
, Patricia Logullo
, Melissa D McCradden
, Nan Liu
, Lauren Oakden-Rayner

Karandeep Singh, Daniel S Ting, Laure Wynants, Bada Yang, Johannes B Reitsma, Richard D Riley, Gary S Collins, Maarten van Smeden

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

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Original language	English
Article number	e082505
Journal	BMJ (Clinical research ed.)
Volume	388
DOIs	https://doi.org/10.1136/bmj-2024-082505
Publication status	Published - 24 Mar 2025

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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., ... 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.), 388, Article e082505. https://doi.org/10.1136/bmj-2024-082505

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title = "Probast+ai: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods",

author = "Moons, \{Karel G M\} and Damen, \{Johanna A A\} and Tabea Kaul and Lotty Hooft and \{Andaur Navarro\}, Constanza and Paula Dhiman and Beam, \{Andrew L\} and \{Van Calster\}, Ben and Celi, \{Leo Anthony\} and Spiros Denaxas and Denniston, \{Alastair K\} and Marzyeh Ghassemi and Georg Heinze and Kengne, \{Andr{\'e} Pascal\} and Lena Maier-Hein and Xiaoxuan Liu and Patricia Logullo and McCradden, \{Melissa D\} and Nan Liu and Lauren Oakden-Rayner and Karandeep Singh and Ting, \{Daniel S\} and Laure Wynants and Bada Yang and Reitsma, \{Johannes B\} and Riley, \{Richard D\} and Collins, \{Gary S\} and \{van Smeden\}, Maarten",

year = "2025",

month = mar,

day = "24",

doi = "10.1136/bmj-2024-082505",

language = "English",

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Moons, KGM , Damen, JAA, Kaul, T, Hooft, L , Andaur Navarro, C, Dhiman, P, Beam, AL, Van Calster, B, Celi, LA, Denaxas, S, Denniston, AK, Ghassemi, M, Heinze, G, Kengne, AP, Maier-Hein, L, Liu, X, Logullo, P, McCradden, MD, Liu, N, Oakden-Rayner, L, Singh, K, Ting, DS, Wynants, L, Yang, B, Reitsma, JB, Riley, RD, Collins, GS & 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

TY - JOUR

T1 - Probast+ai

T2 - an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods

AU - Moons, Karel G M

AU - Damen, Johanna A A

AU - Kaul, Tabea

AU - Hooft, Lotty

AU - Andaur Navarro, Constanza

AU - Dhiman, Paula

AU - Beam, Andrew L

AU - Van Calster, Ben

AU - Celi, Leo Anthony

AU - Denaxas, Spiros

AU - Denniston, Alastair K

AU - Ghassemi, Marzyeh

AU - Heinze, Georg

AU - Kengne, André Pascal

AU - Maier-Hein, Lena

AU - Liu, Xiaoxuan

AU - Logullo, Patricia

AU - McCradden, Melissa D

AU - Liu, Nan

AU - Oakden-Rayner, Lauren

AU - Singh, Karandeep

AU - Ting, Daniel S

AU - Wynants, Laure

AU - Yang, Bada

AU - Reitsma, Johannes B

AU - Riley, Richard D

AU - Collins, Gary S

AU - van Smeden, Maarten

PY - 2025/3/24

Y1 - 2025/3/24

UR - https://www.scopus.com/pages/publications/105001340352

U2 - 10.1136/bmj-2024-082505

DO - 10.1136/bmj-2024-082505

M3 - Article

C2 - 40127903

SN - 1756-1833

VL - 388

JO - BMJ (Clinical research ed.)

JF - BMJ (Clinical research ed.)

M1 - e082505

ER -

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

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