This paper is in the following e-collection/theme issue:

Telehealth and Telemonitoring (1806) Digital Health Reviews (1435) Imaging Informatics (215) Machine Learning (1627) Artificial Intelligence (1602) Digital Pain Assessment and Management (181) Computer-Aided Diagnosis (163)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51250, first published .
Application of AI in Multilevel Pain Assessment Using Facial Images: Systematic Review and Meta-Analysis

Application of AI in Multilevel Pain Assessment Using Facial Images: Systematic Review and Meta-Analysis

Application of AI in Multilevel Pain Assessment Using Facial Images: Systematic Review and Meta-Analysis

Authors of this article:

Jian Huo1 Author Orcid Image ;   Yan Yu2 Author Orcid Image ;   Wei Lin3 Author Orcid Image ;   Anmin Hu2, 3, 4 Author Orcid Image ;   Chaoran Wu2 Author Orcid Image
Article Authors Cited by (4) Tweetations (13) Metrics

Journals

  1. Komasawa N. Revitalizing Postoperative Pain Management in Enhanced Recovery After Surgery via Inter-departmental Collaboration Toward Precision Medicine: A Narrative Review. Cureus 2024 View
  2. Ben Aoun N. A Review of Automatic Pain Assessment from Facial Information Using Machine Learning. Technologies 2024;12(6):92 View
  3. S. Patil M, D. Patil H. Acute Pain Recognition using an Ensemble Learning Methods: Evaluation of Performance and Comparison. International Research Journal of Multidisciplinary Technovation 2025:102 View
  4. Liu C, Li S, Zhou J, Zhao H, Zhou R, Zhu C, Chen S, Chen H, Zhang M. Enhancing Pain Assessment Among Post-Surgery Patients at a Tertiary Hospital in China. Journal of Nursing Care Quality 2025 View