Artificial Intelligence Can Define and Predict the "Optimal Observed Outcome" After Anterior Shoulder Instability Surgery: An Analysis of 200 Patients With 11-Year Mean Follow-Up

PURPOSE: The purpose of this study was to use unsupervised machine learning clustering to define the “optimal observed outcome” after surgery for anterior shoulder instability (ASI) and to identify predictors for achieving it. METHODS: Medical records, images, and operative reports were reviewed for...

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Detalles Bibliográficos
Autores principales: Till, Sara E., Lu, Yining, Reinholz, Anna K., Boos, Alexander M., Krych, Aaron J., Okoroha, Kelechi R., Camp, Christopher L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10382895/
https://www.ncbi.nlm.nih.gov/pubmed/37520500
http://dx.doi.org/10.1016/j.asmr.2023.100773

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10382895/
https://www.ncbi.nlm.nih.gov/pubmed/37520500
http://dx.doi.org/10.1016/j.asmr.2023.100773

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