Published on in Vol 8 (2024)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/60939, first published
.

Journals
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- Siebielec J, Raciborski F. Assessment of vaccine information accuracy across large language models. Frontiers in Public Health 2026;14 View
- 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
- 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
- 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
- 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
- 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
