Evaluation of Artificial Intelligence-based diagnosis for facial fractures, advantages compared with conventional imaging diagnosis: a systematic review and meta-analysis.

Journal: BMC musculoskeletal disorders
Published Date: Jul 15, 2025

Abstract

BACKGROUND: Currently, the application of convolutional neural networks (CNNs) in artificial intelligence (AI) for medical imaging diagnosis has emerged as a highly promising tool. In particular, AI-assisted diagnosis holds significant potential for orthopedic and emergency department physicians by improving diagnostic efficiency and enhancing the overall patient experience. This systematic review and meta-analysis has the objective of assessing the application of AI in diagnosing facial fractures and evaluating its diagnostic performance.

Authors

  • Jiangyi Ju
    Bishan Hospital of Chongqing medical university, (Bishan Hospital of Chongqing), No. 9 Shuangxing Avenue, Bishan District, Chongqing, China.
  • Zhen Qu
    Laboratory of Biorheology and Medical Ultrasonics, University of Montreal Hospital Research Center, Montréal, Québec, Canada.
  • Han Qing
    Bishan Hospital of Chongqing medical university, (Bishan Hospital of Chongqing), No. 9 Shuangxing Avenue, Bishan District, Chongqing, China.
  • Yunxia Ding
    Bishan Hospital of Chongqing medical university, (Bishan Hospital of Chongqing), No. 9 Shuangxing Avenue, Bishan District, Chongqing, China.
  • Lihua Peng
    Bishan Hospital of Chongqing medical university, (Bishan Hospital of Chongqing), No. 9 Shuangxing Avenue, Bishan District, Chongqing, China. 140733@hospital.cqmu.edu.cn.

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