Published on in Vol 4 (2025)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/53026, first published
.

Journals
- 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
- 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
- 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
- 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
- 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
- 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
