Applications of artificial intelligence in ultrasound imaging for carpal-tunnel syndrome diagnosis: a scoping review.

Journal: International orthopaedics
PMID: 40100390

Abstract

PURPOSE: The purpose of this scoping review is to analyze the application of artificial intelligence (AI) in ultrasound (US) imaging for diagnosing carpal tunnel syndrome (CTS), with an aim to explore the potential of AI in enhancing diagnostic accuracy, efficiency, and patient outcomes by automating tasks, providing objective measurements, and facilitating earlier detection of CTS.

Authors

  • Yosra Magdi Mekki
    College of Medicine, Qatar University,, Doha, Qatar.
  • Hye Chang Rhim
    Department of Physical Medicine and Rehabilitation, Harvard Medical School, Spaulding Rehabilitation Hospital, Boston, MA, USA.
  • Daniel Daneshvar
    Department of Physical Medicine and Rehabilitation, Harvard Medical School, Spaulding Rehabilitation Hospital, Boston, MA, USA.
  • Antonios N Pouliopoulos
    Department of Surgical & Interventional Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
  • Catherine Curtin
    Department of Surgery, Veterans' Affairs Palo Alto Healthcare System, Palo Alto, CA, USA.
  • Elisabet Hagert
    Aspetar Orthopedic and Sports Medicine Hospital, Doha, Qatar. elisabet.hagert@aspetar.com.

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