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,...
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
The British Editorial Society of Bone & Joint Surgery
2025-02-01
|
Series: | Bone & Joint Open |
Subjects: | |
Online Access: | https://online.boneandjoint.org.uk/doi/epdf/10.1302/2633-1462.62.BJO-2024-0234.R1 |