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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Principais autores:	Michael Axenhus, Martin Magnéli, Jacob Gislén, Johan Fagrell, Petter Ling, Yilmaz Demir, Erica Domeij Arverud, Kristofer Hallberg, Björn Salomonsson, Max Gordon
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	BMC 2026-02-01
סדרה:	BMC Musculoskeletal Disorders
נושאים:	Artificial intelligence Automated classification Cuff tear arthropathy Glenoid erosion Shoulder radiology
גישה מקוונת:	https://doi.org/10.1186/s12891-026-09603-5
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