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

Early Results in Infodemiology and Infoveillance (93) Artificial Intelligence (AI) in Medical Education (131) Formative Evaluation of Digital Health Interventions (2912) Generative Language Models Including ChatGPT (555)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66207, first published .
Medical Misinformation in AI-Assisted Self-Diagnosis: Development of a Method (EvalPrompt) for Analyzing Large Language Models

Medical Misinformation in AI-Assisted Self-Diagnosis: Development of a Method (EvalPrompt) for Analyzing Large Language Models

Medical Misinformation in AI-Assisted Self-Diagnosis: Development of a Method (EvalPrompt) for Analyzing Large Language Models

Authors of this article:

Troy Zada1 Author Orcid Image ;   Natalie Tam1 Author Orcid Image ;   Francois Barnard1 Author Orcid Image ;   Marlize Van Sittert2 Author Orcid Image ;   Venkat Bhat3, 4 Author Orcid Image ;   Sirisha Rambhatla1 Author Orcid Image
Article Authors Cited by (4) Tweetations Metrics

Journals

  1. de-Marcos L, Domínguez-Díaz A. LLM-Based Topic Modeling for Dark Web Q&A Forums: A Comparative Analysis With Traditional Methods. IEEE Access 2025;13:67159 View
  2. Tukur Jido J, Al-Wizni A, Aung S. Readability of AI-Generated Patient Information Leaflets on Alzheimer’s, Vascular Dementia, and Delirium. Cureus 2025 View
  3. Urda-Cîmpean A, Leucuța D, Drugan C, Duțu A, Călinici T, Drugan T. Assessing the Accuracy of Diagnostic Capabilities of Large Language Models. Diagnostics 2025;15(13):1657 View
  4. Garcia-Carmona A, Prieto M, Puertas E, Beunza J. Leveraging Large Language Models for Accurate Retrieval of Patient Information From Medical Reports: Systematic Evaluation Study. JMIR AI 2025;4:e68776 View