Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review

Autor: Anne A. H. de Hond, Artuur M. Leeuwenberg, Lotty Hooft, Ilse M. J. Kant, Steven W. J. Nijman, Hendrikus J. A. van Os, Jiska J. Aardoom, Thomas P. A. Debray, Ewoud Schuit, Maarten van Smeden, Johannes B. Reitsma, Ewout W. Steyerberg, Niels H. Chavannes, Karel G. M. Moons

Publikováno v: npj Digital Medicine, Vol 5, Iss 1, Pp 1-13 (2022)

Abstract While the opportunities of ML and AI in healthcare are promising, the growth of complex data-driven prediction models requires careful quality and applicability assessment before they are applied and disseminated in daily practice. This scop

Externí odkaz: https://doaj.org/article/6d457ef87593436480c56d463e4239db

Predicting sepsis-related mortality and ICU admissions from telephone triage information of patients presenting to out-of-hours GP cooperatives with acute infections: A cohort study of linked routine care databases

Autor: Feike J. Loots, Marleen Smits, Kevin Jenniskens, Artuur M. Leeuwenberg, Paul H. J. Giesen, Lotte Ramerman, Robert Verheij, Arthur R. H. van Zanten, Roderick P. Venekamp

Publikováno v: PLoS ONE, Vol 18, Iss 12 (2023)

Externí odkaz: https://doaj.org/article/31c22fb7b8f24ae49c232f01a5ce7a30

The relation between prediction model performance measures and patient selection outcomes for proton therapy in head and neck cancer

Autor: Artuur M. Leeuwenberg, Johannes B. Reitsma, Lisa G.L.J. Van den Bosch, Jeroen Hoogland, Arjen van der Schaaf, Frank J.P. Hoebers, Oda B. Wijers, Johannes A. Langendijk, Karel G.M. Moons, Ewoud Schuit

Publikováno v: Leeuwenberg, A M, Reitsma, J B, Van den Bosch, L G L J, Hoogland, J, van der Schaaf, A, Hoebers, F J P, Wijers, O B, Langendijk, J A, Moons, K G M & Schuit, E 2023, ' The relation between prediction model performance measures and patient selection outcomes for proton therapy in head and neck cancer ', Radiotherapy and Oncology, vol. 179, 109449 . https://doi.org/10.1016/j.radonc.2022.109449
Radiotherapy and Oncology, 179:109449. Elsevier Ireland Ltd
Radiotherapy and Oncology, 179:109449. ELSEVIER IRELAND LTD

BACKGROUND: Normal-tissue complication probability (NTCP) models predict complication risk in patients receiving radiotherapy, considering radiation dose to healthy tissues, and are used to select patients for proton therapy, based on their expected

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d97024036e662a725520d242f3bda6d2
https://hdl.handle.net/11370/f9b37130-e710-4b1a-96c5-422fe685a475