How I GPT It: Development of Custom Artificial Intelligence (AI) Chatbots for Surgical Education.
Tejas S Sathe, Joshua Roshal, Ariana Naaseh, Joseph C L'Huillier, Sergio M Navarro, Caitlin Silvestri
Author Information
Tejas S Sathe: University of California San Francisco, San Francisco, California; Columbia University Irving Medical Center, New York, New York; The Collaboration of Surgical Education Fellows (CoSEF). Electronic address: tejas.sathe@ucsf.edu.
Joshua Roshal: The University of Texas Medical Branch, Galveston, Texas; Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts; The Collaboration of Surgical Education Fellows (CoSEF).
Ariana Naaseh: Washington University in St. Louis, St. Louis, Missouri; The Collaboration of Surgical Education Fellows (CoSEF).
Joseph C L'Huillier: Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York; The Collaboration of Surgical Education Fellows (CoSEF).
Sergio M Navarro: University of Minnesota, Minneapolis, Minnesota; Mayo Clinic, Rochester, Minnesota; The Collaboration of Surgical Education Fellows (CoSEF).
Caitlin Silvestri: Columbia University Irving Medical Center, New York, New York; The Collaboration of Surgical Education Fellows (CoSEF).
Artificial Intelligence (AI) chatbots provide a novel format for individuals to interact with large language models (LLMs). Recently released tools allow nontechnical users to develop chatbots using natural language. Surgical education is an exciting area in which chatbots developed in this manner may be rapidly deployed, though additional work will be required to ensure their accuracy and safety. In this paper, we outline our initial experience with AI chatbot creation in surgical education and offer considerations for future use of this technology.
