Automatic detection of optic canal fractures and recognition and segmentation of anatomical structures in the orbital apex based on artificial intelligence.

Journal: Frontiers in cell and developmental biology
Published Date: May 30, 2025

Abstract

BACKGROUND AND OBJECTIVES: Traumatic optic neuropathy (TON) caused by optic canal fractures (OCF) can result in severe visual impairment, even blindness. Timely and accurate diagnosis and treatment are crucial for preserving visual function. However, diagnosing OCF can be challenging for inexperienced clinicians due to atypical OCF changes in imaging studies and variability in optic canal anatomy. This study aimed to develop an artificial intelligence (AI) image recognition system for OCF to assist in diagnosing OCF and segmenting important anatomical structures in the orbital apex.

Authors

  • Yu-Lin Li
    Department of Ophthalmology, The Second Norman Bethune Hospital of Jilin University, Changchun, 130000, China.
  • Yu-Hao Li
    International School, Beijing University of Posts and Telecommunications, Bei Jing, 100876, China.
  • Mu-Yang Wei
    Department of Ophthalmology, The Second Norman Bethune Hospital of Jilin University, Changchun, 130000, China.
  • Guang-Yu Li
    Department of Ophthalmology, The Second Norman Bethune Hospital of Jilin University, Changchun, China.

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