How Can Artificial Intelligence Help Avoid Mistakes in Musculoskeletal Imaging?

Marie Pauline Talabard^1,2, Nor-Eddine Regnard³, Patrick Omoumi⁴, Pedro Augusto Gondim Texeira⁵, Antoine Feydy²

¹Cochin Hospital, Paris, France.

²Department of Musculoskeletal Radiology, Hôpital Cochin, AP-HP Centre, Université Paris Cité, Paris, France.

³Réseau d'Imagerie Sud Francilien, Lieusaint, France Gleamer, Paris, France.

⁴Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.

⁵Guilloz Imaging Department, Central Hospital, University Hospital Center of Nancy, Nancy, France.

PubMed DOI

Abstract

Musculoskeletal imaging plays a central role in diagnosing and managing a wide range of orthopedic conditions. However, it remains susceptible to both interpretive and noninterpretive errors, amplified by increasing imaging demand and complexity. Artificial intelligence, especially deep learning and large language models, has shown growing potential to reduce these errors at every stage of the ima…

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