Artificial intelligence in ultrasound imaging for carpal tunnel syndrome: what clinicians need to know.

Authors

Renu Ambardar, Ahmad J Abdulsalam, Anant Mishra

Published in

Journal of medical ultrasonics (2001). Aug 14, 2026. Epub Aug 14, 2026.

Abstract

This review examines artificial intelligence (AI) applications in ultrasound imaging for carpal tunnel syndrome diagnosis. Deep learning models have achieved Dice coefficients exceeding 0.85 for median nerve segmentation and diagnostic accuracy with area under the curve values up to 0.926, often matching specialist performance. However, methodological limitations exist: only three of 13 included studies (23%) performed external validation, and most used single-center retrospective designs. No prospective clinical trials have demonstrated improved patient outcomes. We critically appraise study quality, discuss current limitations, and provide practical recommendations for clinicians considering AI integration into their practice.

PMID:
42599636
Bibliographic data and abstract were imported from PubMed on 15 Aug 2026.

Read full publication at:
Please sign in to see all details.

Stats

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.