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

Reviews in AI (38) Machine Learning (2266) Artificial Intelligence (2403) Digital Pain Assessment and Management (266) Applications of AI (360) Voice Phenotyping and Vocal Biomarkers (22)

Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53026, first published .
Survey on Pain Detection Using Machine Learning Models: Narrative Review

Survey on Pain Detection Using Machine Learning Models: Narrative Review

Survey on Pain Detection Using Machine Learning Models: Narrative Review

Authors of this article:

Ruijie Fang1 Author Orcid Image ;   Elahe Hosseini1 Author Orcid Image ;   Ruoyu Zhang1 Author Orcid Image ;   Chongzhou Fang1 Author Orcid Image ;   Setareh Rafatirad2 Author Orcid Image ;   Houman Homayoun1 Author Orcid Image
Article Authors Cited by (12) Tweetations Metrics

Journals

  1. Jang E, Eum Y, Yoon D, Byun S. Classifying Emotionally Induced Pain Intensity Using Multimodal Physiological Signals and Subjective Ratings: A Pilot Study. Applied Sciences 2025;15(13):7149 View
  2. Nasef D, Nasef D, Sawiris V, Sator S, Toma M. Training clinically relevant EEG–based pain detection models: a pilot machine learning study. Academia Biology 2025;3(3) View
  3. Idahor C, Okeleke S, Aghahowa O, Ogbonna N, Ogunfuwa O, Okehie C, Ozurumba U, Okparanta G, Okonkwo J. Ethical Dilemmas in Pain Management for Frail and End-of-Life Elderly Patients: Balancing Relief, Autonomy, and Clinical Uncertainty. Cureus 2025 View
  4. Naseer A, Tayyib N, Rashid S. Towards Intelligent Pain Monitoring Systems: A Survey of Recent Technologies and Methods. Sensors 2026;26(8):2447 View
  5. Aziz S, Chetty G, Goecke R, Rojas R. MDNet: A Lightweight Multidomain 1-D CNN for Embedded Pain Assessment Using EDA Signals. IEEE Internet of Things Journal 2026;13(9):19300 View

Books/Policy Documents

  1. Bouchfar S, Bouchfar Y, El Malali H, Mouhsen A, Ben Taleb L, Harmouchi M. Artificial Intelligence and Cognitive Sciences for Emerging Technologies. View

Conference Proceedings

  1. Hammal Z, Walter S, Bianchi-Berthouze N. Proceedings of the 27th International Conference on Multimodal Interaction. The Fifth Edition of the Automated Assessment of Pain (AAP 2025) View
  2. Alabdouli A, Rabie T. 2025 18th International Conference on Development in eSystem Engineering (DeSE). AlamViT: Swin-Enhanced Temporal MobileViT for Pain Recognition from Facial Expressions View
  3. Fathima R, Srinivasan S, Hiremath B, Basu P, Gautam S. 2026 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE). Real-Time EEG-EMG Integrated System for Pain Classification View
  4. Karadayı Ataş P. Companion Proceedings of the 21st ACM/IEEE International Conference on Human-Robot Interaction. A Novel Hybrid Explainable AI Framework for Multimodal Pain-Aware Human Robot Interaction View
  5. Chennagouni N, Lu W, Yu Q. 2026 31st Asia and South Pacific Design Automation Conference (ASP-DAC). Exploiting Feature-driven Approximation to Preserve Privacy in Machine Learning based Health Monitoring Systems View
  6. K S R, Jalaja S, T S R, Sebastian S. 2026 4th International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT). Pain-Sense: A Real-Time Pain Detection and Alert System for Non-Verbal Individuals View