Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60939, first published .
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

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):1010 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