How accurate are ChatGPT-4 responses in chronic urticaria? A critical analysis with information quality metrics.

Journal: The World Allergy Organization journal
Published Date: Jun 14, 2025

Abstract

BACKGROUND: The increasing use of artificial intelligence (AI) in healthcare, especially in delivering medical information, prompts concerns over the reliability and accuracy of AI-generated responses. This study evaluates the quality, reliability, and readability of ChatGPT-4 responses for chronic urticaria (CU) care, considering the potential implications of inaccurate medical information.

Authors

  • Ivan Cherrez-Ojeda
    Department of Allergy and Immunology, Universidad Espiritu Santo, Samborondon, Ecuador.
  • Marco Faytong-Haro
    Respiralab Research Group, Guayaquil, Ecuador.
  • Patricio Alvarez-Muñoz
    Universidad Estatal de Milagro, Cdla. Universitaria "Dr. Rómulo Minchala Murillo" - Km. 1.5 Vía Milagro - Virgen de Fátima, Milagro, Guayas 091050, Ecuador.
  • José Ignacio Larco
    Allergy Department, Clinica San Felipe, Lima, Peru.
  • Erika de Arruda Chaves
    Unidad de Alergia e Inmunología Clínica, Clínica Anglo-Americana, Lima, Peru.
  • Isabel Rojo
    Allergy Service, Juarez Hospital, Mexico City, Mexico.
  • Carol Vivian Moncayo
    Allergy Service, Hospital Juarez de Mexico, Mexico.
  • German D Ramon
    Instituto de Alergia e Inmunología del Sur, Bahia Blanca, Argentina.
  • Gabriela Rodas-Valero
    Universidad Espíritu Santo, Samborondon, Ecuador.
  • Emek Kocatürk
    Institute of Allergology, Charité Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.
  • Giselle S Mosnaim
    Division of Allergy and Immunology, Department of Medicine, Northshore University Health System, Evanston, IL, USA.
  • Karla Robles-Velasco
    Research Center 'Respiralab', Universidad Espíritu Santo, Samborondón, Ecuador; Department of Allergology & Pulmonology, Respiralab Research Group, Guayaquil, Guayas, Ecuador.

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