Can computer vision / artificial intelligence locate key reference points and make clinically relevant measurements on axillary radiographs?

Journal: International orthopaedics
PMID: 39528725

Abstract

PURPOSE: Computer vision and artificial intelligence (AI) offer the opportunity to rapidly and accurately interpret standardized x-rays. We trained and validated a machine learning tool that identified key reference points and determined glenoid retroversion and glenohumeral relationships on axillary radiographs.

Authors

  • Mihir M Sheth
    University of Washington, Seattle, USA.
  • Frederick A Matsen Iii
    University of Washington, Seattle, USA. matsen@uw.edu.
  • Jason E Hsu
    University of Washington, Seattle, USA.
  • Kunzhu Xie
    University of Washington, Seattle, USA.
  • Yuexiang Peng
    University of Washington, Seattle, USA.
  • Weincheng Wu
    University of Washington, Seattle, USA.
  • Bolong Zheng
    University of Washington, Seattle, USA.

Keywords

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