Application of deep learning-based facial pain recognition model for postoperative pain assessment.

Journal: Journal of clinical anesthesia
Published Date: Jun 13, 2025

Abstract

BACKGROUND: Postoperative pain is a common and complex issue that affects patients' recovery and the quality of healthcare. Traditional pain assessment methods-primarily based on self-reporting and clinical observation-are often inadequate, particularly for patients with communication impairments. Deep learning technology offers new opportunities for automatic pain assessment. However, progress in this area is hindered by the limited availability of high-quality clinical datasets and a paucity of studies addressing real-world model deployment. This gap between laboratory research and clinical application requires further study.

Authors

  • Ji-Tuo Zhang
    Department of Anesthesiology, Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
  • Xiao-Yi Hu
    Department of Anesthesiology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
  • Wen Duan
    Department of Anesthesiology, Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China.
  • Mu-Huo Ji
    Department of Anesthesiology, Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
  • Jian-Jun Yang
    School of Medicine, Southeast University, Nanjing, China.

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