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

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

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