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

mHealth for Data Collection and Research (1196) Digital Pain Assessment and Management (232) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1732) Evaluation and Research Methodology for mHealth (242) Imaging Informatics (302) Machine Learning (2076) Chronic Conditions (434)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53119, first published .
Automated Pain Spots Recognition Algorithm Provided by a Web Service–Based Platform: Instrument Validation Study

Automated Pain Spots Recognition Algorithm Provided by a Web Service–Based Platform: Instrument Validation Study

Automated Pain Spots Recognition Algorithm Provided by a Web Service–Based Platform: Instrument Validation Study

Authors of this article:

Corrado Cescon1 Author Orcid Image ;   Giuseppe Landolfi2 Author Orcid Image ;   Niko Bonomi2 Author Orcid Image ;   Marco Derboni3 Author Orcid Image ;   Vincenzo Giuffrida3 Author Orcid Image ;   Andrea Emilio Rizzoli3 Author Orcid Image ;   Paolo Maino4 Author Orcid Image ;   Eva Koetsier4 Author Orcid Image ;   Marco Barbero1 Author Orcid Image
Article Authors Cited by (3) Tweetations (1) Metrics

Journals

  1. Drummond P, Rossen-Abercromby M, Quartermaine A, Ye D, Barbero M, Finch P. Spatial distribution of pain in complex regional pain syndrome. Pain 2025;166(10):2342 View
  2. Chaikla R, Kothan S, Barbero M, Falla D, Sremakaew M, Uthaikhup S. Brain metabolic alterations in individuals with chronic non-specific neck pain assessed using proton magnetic resonance spectroscopy. Scientific Reports 2025;15(1) View
  3. Chaikla R, Wantanajittikul K, Barbero M, Falla D, Sremakaew M, Uthaikhup S. Diffusion tensor imaging of white matter integrity and pain-related outcomes in chronic nonspecific neck pain. Scientific Reports 2025;15(1) View