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

Early Results in Infodemiology and Infoveillance (110) Artificial Intelligence (AI) in Medical Education (224) Formative Evaluation of Digital Health Interventions (3399) Generative Language Models Including ChatGPT (781)

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 (15) 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
  5. Zhu X, Dai W, Evans R, Geng X, Mu A, Liu Z. Current Landscape and Future Directions Regarding Generative Large Language Models in Stroke Care: Scoping Review. JMIR Medical Informatics 2025;13:e76636 View
  6. Acar E, Avan B. Evaluation of the responses from different chatbots to frequently asked patient questions about impacted canines. Australasian Orthodontic Journal 2025;41(1):288 View
  7. Sharma S, Alaa A, Daneshjou R. A longitudinal analysis of declining medical safety messaging in generative AI models. npj Digital Medicine 2025;8(1) View
  8. Nguyen T, Vu L, Nguyen T, Truong K, Thai T, Than T, Nguyen H. Mobile App Psychoeducation for Dementia Caregivers In Vietnam: A Randomized Controlled Trial. Journal of Multidisciplinary Healthcare 2025;Volume 18:6871 View
  9. Paglieri F. Large Language Models, argumentation, and healthcare. Journal of Argumentation in Context 2025;14(3):321 View
  10. Corradini L, Marcaccini G, Seth I, Rozen W, Biagiotti C, Cuomo R, Giardino F. AI vs. MD: Benchmarking ChatGPT and Gemini for Complex Wound Management. Journal of Clinical Medicine 2025;14(24):8825 View
  11. Farrow M, O’Neill D, Packer R, Belo V. To see or not to see the vet: A vignette-based study of decision-making by UK dog owners regarding seeking veterinary care for commonly presenting conditions. PLOS One 2026;21(1):e0339723 View
  12. Vu C, Cummings J, Park D. Student engagement with ChatGPT for educational tasks: Effects of inoculation training on verification intentions and behavior. Computers and Education Open 2026;10:100335 View
  13. Croitoru I, Turcu C, Turcu C. Privacy-by-Design in AI-Assisted Systems for Caregivers of Children with Autism: A Secure Multi-Agent Architecture. Applied Sciences 2026;16(4):2157 View
  14. Grundmeier R, Fiks A, Jenssen B, Proctor S, Ferro D, Johnson K. Generative Artificial Intelligence: Implications for Families and Pediatricians. Pediatrics 2026 View

Conference Proceedings

  1. Lin R. Proceedings of the 2025 International Conference on Health Informatization and Data Analytics. Knowledge Integration and Decision Support of Large Language Models in AI-Assisted Medical Diagnosis View