The ensemble artificial intelligence (AI) method: Detection of hip fractures in AP pelvis plain radiographs by majority voting using a multi-center dataset.

Journal: Digital health
Published Date:

Abstract

INTRODUCTION: This article was undertaken to explore the potential of AI in enhancing the diagnostic accuracy and efficiency in identifying hip fractures using X-ray radiographs. In the study, we trained three distinct deep learning models, and we utilized majority voting to evaluate their outcomes, aiming to yield the most reliable and precise diagnoses of hip fractures from X-ray radiographs.

Authors

  • Salih Beyaz
    Başkent University Adana Dr. Turgut Noyan Research and Training Centre, Orthopedics and Traumatology Department, Adana, Türkiye.
  • Sahika Betul Yayli
    Turkcell Technology, Artificial Intelligence & Digital Analytic Solutions, İstanbul, Türkiye.
  • Ersin Kılıc
    Turkcell Technology, Artificial Intelligence & Digital Analytic Solutions, İstanbul, Türkiye.
  • Ugur Doktur
    Turkcell Technology, Artificial Intelligence & Digital Analytic Solutions, İstanbul, Türkiye.

Keywords

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