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, including those for predicting clinical outcomes and those used in image analysis. We searched the PubMed, EMBASE, and Cochrane Central Register of Controlled Trials databases for studies applying ML algorithms in TSA. The analysis focused on dataset characteristics, relevant subspecialties, specific ML algorithms used, and their performance outcomes.Aims
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The aetiology of hallux valgus is almost certainly multifactoral.
The biomechanics of the first ray is a common factor to most. There
is very little literature examining the anatomy of the proximal
metatarsal articular surface and its relationship to hallux valgus
deformity. We examined 42 feet from 23 specimens in this anatomical dissection
study.Introduction
Methods
