Machine learning in shoulder arthroplasty: a systematic review of predictive analytics applications

Aims: Machine learning (ML) holds significant promise in optimizing various aspects of total shoulder arthroplasty (TSA), potentially improving patient outcomes and enhancing surgical decision-making. The aim of this systematic review was to identify ML algorithms and evaluate their effectiveness,...

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Bibliographic Details
Published in:	Bone & Joint Open
Main Authors:	Tim Schneller, Moritz Kraus, Jan Schätz, Philipp Moroder, Markus Scheibel, Asimina Lazaridou
Format:	Article
Language:	English
Published:	The British Editorial Society of Bone & Joint Surgery 2025-02-01
Subjects:	machine learning systematic review total shoulder arthroplasty clinical outcomes image analysis predictive analytics shoulder arthroplasty rtsa shoulder surgeries imaging studies clinicians shoulder prosthesis orthopaedic surgery augmentation
Online Access:	https://online.boneandjoint.org.uk/doi/epdf/10.1302/2633-1462.62.BJO-2024-0234.R1

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