Developing a machine learning algorithm to predict the probability of aseptic loosening of the glenoid component after anatomical total shoulder arthroplasty: protocol for a retrospective, multicentre study

Developing a machine learning algorithm to predict the probability of aseptic loosening of the glenoid component after anatomical total shoulder arthroplasty: protocol for a retrospective, multicentre study

Introduction Despite technological advancements in recent years, glenoid component loosening remains a common complication after anatomical total shoulder arthroplasty (ATSA) and is one of the main causes of revision surgery. Increasing emphasis is placed on the prevention of glenoid component failu...

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Bibliographic Details
Main Authors: Pascal Boileau, Michel P J van den Bekerom, Job N Doornberg, Laurent Lafosse, George S Athwal, Thibault Lafosse, Geert Alexander Buijze, Arno Alexander Macken, Loïc C Macken, Jacobien H F Oosterhoff
Format: Article
Language:English
Published: BMJ Publishing Group 2023-10-01
Series:BMJ Open
Online Access:https://bmjopen.bmj.com/content/13/10/e074700.full

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https://bmjopen.bmj.com/content/13/10/e074700.full

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