The role of artificial intelligence in predicting injured structures based on clinical images of lacerations in the volar aspect of the hand and forearm.

Journal: Journal of hand and microsurgery
Published Date: Apr 9, 2025

Abstract

INTRODUCTION: Recently introduced image processing capabilities of AI models, which are accessible to a broad audience, may contribute to progress in medical research. Inspection and physical examination are important components of hand injury assessment, but they have inherent limitations in accuracy. The purpose of this study was to compare the structures identified as damaged during physical examination with those predicted by an AI model, utilizing its image processing capability. We hypothesized that the AI tool would demonstrate a level of accuracy comparable to that of physical examination in predicting injured structures.

Authors

  • Arman Vahabi
    Department of Orthopedics and Traumatology, Ege University University School of Medicine, Bornova, İzmir, Türkiye.
  • Ali Engin Daştan
    Department of Hand Surgery, Izmir City Hospital, İzmir, Türkiye.
  • Hüseyin Günay
    Department of Orthopedics and Traumatology, Ege University University School of Medicine, Bornova, İzmir, Türkiye.

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