Automated classification of shoulder radiology focusing on cuff tear arthropathy and glenoid erosion using AI

Abstract Background Recent advancements in the field artificial intelligence (AI), particularly in the architecture of convolutional neural network (CNN) architecture, have revolutionized medical imaging by enabling accurate image recognition. However, the application of AI in identifying degenerati...

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Autori principali:	Michael Axenhus, Martin Magnéli, Jacob Gislén, Johan Fagrell, Petter Ling, Yilmaz Demir, Erica Domeij Arverud, Kristofer Hallberg, Björn Salomonsson, Max Gordon
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	BMC 2026-02-01
Serie:	BMC Musculoskeletal Disorders
Soggetti:	Artificial intelligence Automated classification Cuff tear arthropathy Glenoid erosion Shoulder radiology
Accesso online:	https://doi.org/10.1186/s12891-026-09603-5
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