Appraising the value of AI in wrist fracture detection: A clinical review.

Aidin Gharavi¹, Sergio M Navarro², Andy Tom³, Audrey Bankes³, Matthew Gish³, Michele McGinnis⁴, Matthew D Rich⁵

¹Mayo Clinic Alix School of Medicine, Rochester, MN, United States. Electronic address: Gharavi.aidin@mayo.edu.

²Department of Surgery, Mayo Clinic, Rochester, MN, United States; Department of Surgery, University of Minnesota, Minneapolis, MN, United States.

³Mayo Clinic Alix School of Medicine, Rochester, MN, United States.

⁴Mayo Clinic Libraries, Rochester, MN, United States.

⁵Division of Hand Surgery, Department of Orthopedic Surgery, University of California Irvine, Irvine, CA, United States.

PubMed DOI

Abstract

INTRODUCTION: Artificial intelligence (AI) has become increasingly tested for improving fracture detection. This scoping review evaluates how AI can improve human performance in detecting traumatic wrist fractures. METHODS: A scoping review was conducted to identify studies comparing AI and human performance for wrist fracture detection. Nine resources were searched, including key databases Embas…

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