Evaluation of the Quality and Reliability of ChatGPT‐4's Responses on Allergen Immunotherapy Using Validated Instruments for Health Information Quality Assessment

ChatGPT-4 provides generally well-structured responses on AIT but lacks reliability and readability for clinical or patient-directed use. Until specialized, reference-based models are developed, healthcare professionals should supervise its use, particularly in sensitive areas such as dosing and safety.

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Publication Details

Journal
Clinical and Translational Allergy
Published
2025-11-29
DOI
https://doi.org/10.1002/clt2.70130
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Evaluation of the Quality and Reliability of ChatGPT‐4's Responses on Allergen Immunotherapy Using Validated Instruments for Health Information Quality Assessment

Marco Faytong‐Haro, Stephanie Dramburg, Torsten Zuberbier, Michael Rudenko et al.
Clinical and Translational Allergy
Artificial Intelligence in Healthcare and Education
article

Evaluation of the Quality and Reliability of ChatGPT‐4's Responses on Allergen Immunotherapy Using Validated Instruments for Health Information Quality Assessment

Marco Faytong‐Haro, Stephanie Dramburg, Torsten Zuberbier, Michael Rudenko, Iván Chérrez-Ojeda, José Ignacio Larco, Pascal Demoly, Oliver Pfaar, German Dario Ramon, Olga Patricia Monge-Ortega, René Maximiliano Gómez, Herberto José Chong‐Neto, Davide Caimmi, Kelvin L. Quimby, Karla Robles‐Velasco, Oscar Calderón Llosa, Gabriela Rodas‐Valero, Ghada E. Fouda
article en

Abstract

ChatGPT-4 provides generally well-structured responses on AIT but lacks reliability and readability for clinical or patient-directed use. Until specialized, reference-based models are developed, healthcare professionals should supervise its use, particularly in sensitive areas such as dosing and safety.

Clinical and Translational AllergyVol. 15(12)
Inserm (FR), Philipps University of Marburg (DE), Université de Montpellier (FR), Universidad de San Martín de Porres (PE), Universidad Espíritu Santo (EC), Universidad de Costa Rica (CR), Universidad de Antioquia (CO), Humboldt-Universität zu Berlin (DE), Universidad Estatal de Milagro (EC), ENT and Allergy (US), Fraunhofer Institute for Translational Medicine and Pharmacology (DE), Universidad Católica de Salta (AR), Hospital San Juan de Dios (CL), Hospital de Clínicas Universidade Federal do Paraná (BR), Institute for Neurosciences of Montpellier (FR), Centro Peruano de Estudios Sociales (PE), Hôpital Arnaud de Villeneuve (FR), Egyptian Government (EG), Universidad Agraria del Ecuador (EC), University of the West Indies (BB), Charité - Universitätsmedizin Berlin (DE)
Openalex Percentile: Top 69%
Artificial Intelligence in Healthcare and Education
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