Share:
Peer-Reviewed Publication
Semin Musculoskelet Radiol2026May 12, 2026Journal Article

Artificial Intelligence (Pattern Recognition) in Musculoskeletal Imaging: The Future or Hype?

Mickael Tordjman1, Nor-Eddine Regnard2,3, Fadila Mihoubi4,5, Benoit Rizk6, Ali Guermazi7
1Icahn School of Medicine at Mount Sinai, New York, New York, United States.
2Gleamer, Paris, France.
3Réseau d'Imagerie Sud Francilien, Clinique du Mousseau Ramsay Santé, Evry, France.
4Centre Leonard de Vinci, Paris, France.
5Department of Radiology B, Hôpital Cochin, APHP, Paris, France.
63R Réseau Radiologique Romand, Rue de la Dixence 8, Sion, Switzerland.
7Boston University Chobanian and Avedisian School of Medicine, Boston University School of Medicine, Boston, Massachusetts, United States.

Abstract

Artificial intelligence and automated pattern recognition, in particular, have been described as the next frontier in musculoskeletal imaging. However, as the initial hype phase transitions into clinical reality, an essential evaluation of these technologies is required. This narrative review examines the dichotomy between a potential future in which artificial intelligence offers unprecedented ef…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.