Developing a machine learning algorithm to predict probability of retear and functional outcomes in patients undergoing rotator cuff repair surgery: protocol for a retrospective, multicentre study

INTRODUCTION: The effectiveness of rotator cuff tear repair surgery is influenced by multiple patient-related, pathology-centred and technical factors, which is thought to contribute to the reported retear rates between 17% and 94%. Adequate patient selection is thought to be essential in reaching s...

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Detalles Bibliográficos
Autores principales: Allaart, Laurens J H, van Spanning, Sanne, Lafosse, Laurent, Lafosse, Thibault, Ladermann, Alexandre, Athwal, George S, Hendrickx, Laurent A M, Doornberg, Job N, van den Bekerom, Michel P J, Buijze, Geert Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Surgery
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9923257/
https://www.ncbi.nlm.nih.gov/pubmed/36764713
http://dx.doi.org/10.1136/bmjopen-2022-063673

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9923257/
https://www.ncbi.nlm.nih.gov/pubmed/36764713
http://dx.doi.org/10.1136/bmjopen-2022-063673

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