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

Digital Pain Assessment and Management (187) Machine Learning (1663) Generative Language Models Including ChatGPT (453) Research Instruments, Questionnaires, and Tools (648) 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
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Matt Jones Matt Jones @Mattjones0203

Exploring the Capacity of Large Language Models to Assess the Chronic Pain Experience: Algorithm Development and Validation https://t.co/2BtjHUDIyb

7:26 AM · Apr 01, 2025

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Rodrigo Rizzo Rodrigo Rizzo @rodrizzo_pain

RT @Mattjones0203: Exploring the Capacity of Large Language Models to Assess the Chronic Pain Experience: Algorithm Development and Validat…

3:02 AM · Apr 02, 2025

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BibliotecaHUVH BibliotecaHUVH @BibliotecaHUVH

Exploring the Capacity of Large Language Models to Assess the Chronic Pain Experience: Algorithm Development and Validation https://t.co/pitAD5o2m0 #hvhebron #reu [Text complet]

12:30 PM · Apr 04, 2025

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