TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods

The TRIPOD (Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis) statement was published in 2015 to provide the minimum reporting recommendations for studies developing or evaluating the performance of a prediction model. Methodological advances in the fie...

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Veröffentlicht in:	BMJ (Online) Jg. 385; S. e078378
Hauptverfasser:	Collins, Gary S, Moons, Karel G M, Dhiman, Paula, Riley, Richard D, Beam, Andrew L, Van Calster, Ben, Ghassemi, Marzyeh, Liu, Xiaoxuan, Reitsma, Johannes B, van Smeden, Maarten, Boulesteix, Anne-Laure, Camaradou, Jennifer Catherine, Celi, Leo Anthony, Denaxas, Spiros, Denniston, Alastair K, Glocker, Ben, Golub, Robert M, Harvey, Hugh, Heinze, Georg, Hoffman, Michael M, Kengne, André Pascal, Lam, Emily, Lee, Naomi, Loder, Elizabeth W, Maier-Hein, Lena, Mateen, Bilal A, McCradden, Melissa D, Oakden-Rayner, Lauren, Ordish, Johan, Parnell, Richard, Rose, Sherri, Singh, Karandeep, Wynants, Laure, Logullo, Patricia
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England British Medical Journal Publishing Group 16.04.2024 BMJ Publishing Group LTD
Schlagworte:	Artificial intelligence Calibration Check lists Checklist Decision Support Techniques Deep learning Humans Learning algorithms Machine learning Medical imaging Models, Statistical Open access Prediction models Prognosis Regression analysis Research Methods & Reporting Validation studies
ISSN:	1756-1833, 1756-1833
Online-Zugang:	Volltext
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