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

Digital Pain Assessment and Management (189) Machine Learning (1680) Generative Language Models Including ChatGPT (459) Research Instruments, Questionnaires, and Tools (650) Methods and Instruments in Medical Informatics (164)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65903, first published .
Exploring the Capacity of Large Language Models to Assess the Chronic Pain Experience: Algorithm Development and Validation

Exploring the Capacity of Large Language Models to Assess the Chronic Pain Experience: Algorithm Development and Validation

Exploring the Capacity of Large Language Models to Assess the Chronic Pain Experience: Algorithm Development and Validation

Authors of this article:

Jacopo Amidei1 Author Orcid Image ;   Rubén Nieto2 Author Orcid Image ;   Andreas Kaltenbrunner1 Author Orcid Image ;   Jose Gregorio Ferreira De Sá1 Author Orcid Image ;   Mayte Serrat3, 4 Author Orcid Image ;   Klara Albajes5 Author Orcid Image
Article Authors Cited by Tweetations (3) Metrics

Jacopo Amidei   1 , PhD ;   Rubén Nieto   2 , PhD ;   Andreas Kaltenbrunner   1 , PhD ;   Jose Gregorio Ferreira De Sá   1 , PhD ;   Mayte Serrat   3, 4 , PhD ;   Klara Albajes   5 , PhD

1 AI and Data for Society Research Group, Internet Interdisciplinary Institute, Universitat Oberta de Catalunya, Barcelona, Spain

2 eHealth Lab Research Group, Faculty of Psychology and Educational Sciences, Universitat Oberta de Catalunya, Barcelona, Spain

3 Unitat d’Expertesa en Síndromes de Sensibilització Central, Servei de Reumatologia, Vall d'Hebron Hospital Universitari, Barcelona, Spain

4 Escola Universitària de Fisioteràpia, Escoles Universitàries Gimbernat, Barcelona, Spain

5 Psyclinic Mental Health, Barcelona, Spain

Corresponding Author:

  • Rubén Nieto, PhD
  • eHealth Lab Research Group
  • Faculty of Psychology and Educational Sciences
  • Universitat Oberta de Catalunya
  • Rambla del Poblenou, 156
  • Barcelona, 08018
  • Spain
  • Phone: 34 933263538
  • Email: rnietol@uoc.edu