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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

To evaluate LLMs’ capacity to assess pain narratives we used the narratives provided in Serrat et al [22]. In our investigation, GPT-4 was used to assign scores, as well as the scores’ explanation, for pain severity and disability as expressed in the narratives.

Jacopo Amidei, Rubén Nieto, Andreas Kaltenbrunner, Jose Gregorio Ferreira De Sá, Mayte Serrat, Klara Albajes

J Med Internet Res 2025;27:e65903

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Perception of People Diagnosed With Fibromyalgia About Information and Communication Technologies for Chronic Pain Management: Cross-Sectional Survey Study

Perception of People Diagnosed With Fibromyalgia About Information and Communication Technologies for Chronic Pain Management: Cross-Sectional Survey Study

Xènia Porta, Rubén Nieto, Mayte Serrat, Pierre Bourdin Kreitz

JMIR Form Res 2024;8:e55751

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Factors Associated With Longitudinal Psychological and Physiological Stress in Health Care Workers During the COVID-19 Pandemic: Observational Study Using Apple Watch Data

Factors Associated With Longitudinal Psychological and Physiological Stress in Health Care Workers During the COVID-19 Pandemic: Observational Study Using Apple Watch Data

Robert P Hirten, Matteo Danieletto, Lewis Tomalin, Katie Hyewon Choi, Micol Zweig, Eddye Golden, Sparshdeep Kaur, Drew Helmus, Anthony Biello, Renata Pyzik, Claudia Calcagno, Robert Freeman, Bruce E Sands, Dennis Charney, Erwin P Bottinger, James W Murrough, Laurie Keefer, Mayte Suarez-Farinas, Girish N Nadkarni, Zahi A Fayad

J Med Internet Res 2021;23(9):e31295

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Use of Physiological Data From a Wearable Device to Identify SARS-CoV-2 Infection and Symptoms and Predict COVID-19 Diagnosis: Observational Study

Use of Physiological Data From a Wearable Device to Identify SARS-CoV-2 Infection and Symptoms and Predict COVID-19 Diagnosis: Observational Study

Robert P Hirten, Matteo Danieletto, Lewis Tomalin, Katie Hyewon Choi, Micol Zweig, Eddye Golden, Sparshdeep Kaur, Drew Helmus, Anthony Biello, Renata Pyzik, Alexander Charney, Riccardo Miotto, Benjamin S Glicksberg, Matthew Levin, Ismail Nabeel, Judith Aberg, David Reich, Dennis Charney, Erwin P Bottinger, Laurie Keefer, Mayte Suarez-Farinas, Girish N Nadkarni, Zahi A Fayad

J Med Internet Res 2021;23(2):e26107

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Feasibility of the Internet Attachment–Based Compassion Therapy in the General Population: Protocol for an Open-Label Uncontrolled Pilot Trial

Feasibility of the Internet Attachment–Based Compassion Therapy in the General Population: Protocol for an Open-Label Uncontrolled Pilot Trial

Daniel Campos, Mayte Navarro-Gil, Paola Herrera-Mercadal, Laura Martínez-García, Ausiàs Cebolla, Luis Borao, Yolanda López-Del-Hoyo, Diana Castilla, Eva del Río, Javier García-Campayo, Soledad Quero

JMIR Res Protoc 2020;9(8):e16717

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The Malaria System MicroApp: A New, Mobile Device-Based Tool for Malaria Diagnosis

The Malaria System MicroApp: A New, Mobile Device-Based Tool for Malaria Diagnosis

Allisson Dantas Dantas de Oliveira, Clara Prats, Mateu Espasa, Francesc Zarzuela Serrat, Cristina Montañola Sales, Aroa Silgado, Daniel Lopez Codina, Mercia Eliane Arruda, Jordi Gomez i Prat, Jones Albuquerque

JMIR Res Protoc 2017;6(4):e70

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