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

Reviews in AI (21) Machine Learning (2034) Applications of AI (272) Digital Pain Assessment and Management (228) Artificial Intelligence (2064) Voice Phenotyping and Vocal Biomarkers (13)

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 (3) 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

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