Deep learning algorithms enable MRI-based scapular morphology analysis with values comparable to CT-based assessments

Deep learning algorithms enable MRI-based scapular morphology analysis with values comparable to CT-based assessments

Abstract Scapular morphological attributes show promise as prognostic indicators of retear following rotator cuff repair. Current evaluation techniques using single-slice magnetic-resonance imaging (MRI) are, however, prone to error, while more accurate computed tomography (CT)-based three-dimension...

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Bibliographic Details
Main Authors: Hanspeter Hess, Alexandra Oswald, J. Tomás Rojas, Alexandre Lädermann, Matthias A. Zumstein, Kate Gerber
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Shoulder surgery
Rotator cuff
MRI Reconstruction
Artificial intelligence (AI)
Planification
Predictive model
Online Access:https://doi.org/10.1038/s41598-024-84107-7
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https://doi.org/10.1038/s41598-024-84107-7

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