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Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60939, first published .
Healthcare professional in blue gloves administers injection to patient's arm

Ensuring Accuracy and Equity in Vaccination Information From ChatGPT and CDC: Mixed-Methods Cross-Language Evaluation

Ensuring Accuracy and Equity in Vaccination Information From ChatGPT and CDC: Mixed-Methods Cross-Language Evaluation

Journals

  1. Bragazzi N, Buchinger M, Atwan H, Tuma R, Chirico F, Szarpak L, Farah R, Khamisy-Farah R. Proficiency, Clarity, and Objectivity of Large Language Models Versus Specialists’ Knowledge on COVID-19's Impacts in Pregnancy: Cross-Sectional Pilot Study. JMIR Formative Research 2025;9:e56126 View
  2. Hack S, Alsleibi S, Saleh N, Alon E, Rabinovics N, Remer E. Are chatbots a reliable source for patient frequently asked questions on neck masses?. European Archives of Oto-Rhino-Laryngology 2025;282(8):4273 View
  3. Hack S, Gvili B, Alsleibi S, Yogev D, Glikson E. Do large language models meet professional standards in rhinoplasty?? A comparative evaluation with AAO-HNS guidelines. European Journal of Plastic Surgery 2025;48(1) View
  4. Zhou J, Chen A, Shah D, Schwab-Reese L, De Choudhury M. A Risk Taxonomy and Reflection Tool for Large Language Model Adoption in Public Health. Proceedings of the ACM on Human-Computer Interaction 2025;9(7):1 View
  5. Sezen A, Şahin Özdemir M, Özdemir Y. Comparative Evaluation of ChatGPT and Gemini in Answering Questions on Vaccines and Immunization. Genel Tıp Dergisi 2025;35(5):1011 View
  6. Kılıçtaş A, Gül O, Kılıçtaş B, Kaba E, Erdivanli B. Can LLMs simplify operative notes? A comparative analysis in otorhinolaryngology. European Archives of Oto-Rhino-Laryngology 2026;283(1):477 View
  7. Joshi S, Mehta M, Mendoza M, Rivera Y, Singh V. Differences in Safety Risks Across Languages in Health-Relevant Queries: Vulnerability Analysis of Large Language Model Responses. JMIR Formative Research 2026;10:e87465 View
  8. Khosravi M, Zamaninasab Z, Mojtabaeian S, Dindar Demiray E, Arab-Zozani M, Shi M. A systematic review of the limitations of large language models in generating healthcare content. PLOS Digital Health 2026;5(4):e0001354 View
  9. Tiller N, Marcon A, Zenone M, Kidd K, Jeukendrup A, Master Z, Caulfield T. Generative artificial intelligence-driven chatbots and medical misinformation: an accuracy, referencing and readability audit. BMJ Open 2026;16(4):e112695 View
  10. Zhou J, Venkatachalam K, Choi M, Saha K, De Choudhury M. Communication styles and reader preferences of LLM- and human-authored COVID-19 information explanations: a case study. BMC Artificial Intelligence 2026;2(1) View
  11. Siebielec J, Raciborski F. Assessment of vaccine information accuracy across large language models. Frontiers in Public Health 2026;14 View
  12. Xu H, Liu J, Cheng Q. Conversational Search Systems for Health Information Seeking: A Scoping Review of Capabilities, Challenges, and Future Directions. Applied Sciences 2026;16(12):5827 View
  13. Grach S, Badawi A, Ahmad F, Dolatabadi E. A scoping review of algorithmic equity, data diversity, and inclusive design in the transformer era of clinical NLP. Journal of Biomedical Informatics 2026;181:105077 View
  14. Reis F, Bayer L, Malerczyk C, Lenz C, von Eiff C. Leveraging Large Language Models to Address Common Vaccination Myths and Misconceptions. Vaccines 2026;14(7):594 View
  15. King A, Banks A, Hernández L, Thompson S, Stevens L, Potter L, Kaphingst K, Estabrooks P, Del Fiol G, Wetter D, Schlechter C. An Acceptance Criteria Framework for Determining the Implementation Fit of Custom Large Language Models in Public Health Interventions. Journal of Medical Internet Research 2026;28:e92356 View

Conference Proceedings

  1. B S, G S, N K, Sundarambal B, S S, Selvaganesan C. 2025 International Conference on Data Science and Business Systems (ICDSBS). Multilingual Chatbot for Government Services View