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

Theme Issue: ChatGPT and Generative Language Models in Medical Education (69) e-Learning and Medical Education (658) Natural Language Processing (650) Chatbots and Conversational Agents (473) Ontologies, Classifications, and Coding (227) Artificial Intelligence (1216) Telehealth and Telemonitoring (1575)

Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49183, first published .
ChatGPT Versus Consultants: Blinded Evaluation on Answering Otorhinolaryngology Case–Based Questions

ChatGPT Versus Consultants: Blinded Evaluation on Answering Otorhinolaryngology Case–Based Questions

ChatGPT Versus Consultants: Blinded Evaluation on Answering Otorhinolaryngology Case–Based Questions

Authors of this article:

Christoph Raphael Buhr1, 2 Author Orcid Image ;   Harry Smith3 Author Orcid Image ;   Tilman Huppertz1 Author Orcid Image ;   Katharina Bahr-Hamm1 Author Orcid Image ;   Christoph Matthias1 Author Orcid Image ;   Andrew Blaikie2 Author Orcid Image ;   Tom Kelsey3 Author Orcid Image ;   Sebastian Kuhn4 Author Orcid Image ;   Jonas Eckrich1 Author Orcid Image
Article Authors Cited by (7) Tweetations (2) Metrics

Journals

  1. Sauder M, Tritsch T, Rajput V, Schwartz G, Shoja M. Exploring Generative Artificial Intelligence-Assisted Medical Education: Assessing Case-Based Learning for Medical Students. Cureus 2024 View
  2. Teixeira-Marques F, Medeiros N, Nazaré F, Alves S, Lima N, Ribeiro L, Gama R, Oliveira P. Exploring the role of ChatGPT in clinical decision-making in otorhinolaryngology: a ChatGPT designed study. European Archives of Oto-Rhino-Laryngology 2024;281(4):2023 View
  3. Eckrich J, Ellinger J, Cox A, Stein J, Ritter M, Blaikie A, Kuhn S, Buhr C. Urology consultants versus large language models: Potentials and hazards for medical advice in urology. BJUI Compass 2024;5(5):438 View
  4. Jedrzejczak W, Skarzynski P, Raj-Koziak D, Sanfins M, Hatzopoulos S, Kochanek K. ChatGPT for Tinnitus Information and Support: Response Accuracy and Retest after Three and Six Months. Brain Sciences 2024;14(5):465 View
  5. Buhr C, Smith H, Huppertz T, Bahr-Hamm K, Matthias C, Cuny C, Snijders J, Ernst B, Blaikie A, Kelsey T, Kuhn S, Eckrich J. Assessing unknown potential—quality and limitations of different large language models in the field of otorhinolaryngology. Acta Oto-Laryngologica 2024;144(3):237 View
  6. Griewing S, Knitza J, Boekhoff J, Hillen C, Lechner F, Wagner U, Wallwiener M, Kuhn S. Evolution of publicly available large language models for complex decision-making in breast cancer care. Archives of Gynecology and Obstetrics 2024;310(1):537 View
  7. Rotem R, Zamstein O, Rottenstreich M, O'Sullivan O, O'reilly B, Weintraub A. The future of patient education: A study on AI‐driven responses to urinary incontinence inquiries. International Journal of Gynecology & Obstetrics 2024 View