Assessment of Artificial Intelligence Performance on the Otolaryngology Residency In-Service Exam.
Autor: | Mahajan AP; University of Michigan Medical School Ann Arbor Michigan USA., Shabet CL; University of Michigan Medical School Ann Arbor Michigan USA., Smith J; Department of Otolaryngology-Head and Neck Surgery University of Michigan School of Medicine Ann Arbor Michigan USA., Rudy SF; Department of Otolaryngology-Head and Neck Surgery University of Michigan School of Medicine Ann Arbor Michigan USA., Kupfer RA; Department of Otolaryngology-Head and Neck Surgery University of Michigan School of Medicine Ann Arbor Michigan USA., Bohm LA; Department of Otolaryngology-Head and Neck Surgery University of Michigan School of Medicine Ann Arbor Michigan USA. |
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Jazyk: | angličtina |
Zdroj: | OTO open [OTO Open] 2023 Nov 29; Vol. 7 (4), pp. e98. Date of Electronic Publication: 2023 Nov 29 (Print Publication: 2023). |
DOI: | 10.1002/oto2.98 |
Abstrakt: | Objectives: This study seeks to determine the potential use and reliability of a large language learning model for answering questions in a sub-specialized area of medicine, specifically practice exam questions in otolaryngology-head and neck surgery and assess its current efficacy for surgical trainees and learners. Study Design and Setting: All available questions from a public, paid-access question bank were manually input through ChatGPT. Methods: Outputs from ChatGPT were compared against the benchmark of the answers and explanations from the question bank. Questions were assessed in 2 domains: accuracy and comprehensiveness of explanations. Results: Overall, our study demonstrates a ChatGPT correct answer rate of 53% and a correct explanation rate of 54%. We find that with increasing difficulty of questions there is a decreasing rate of answer and explanation accuracy. Conclusion: Currently, artificial intelligence-driven learning platforms are not robust enough to be reliable medical education resources to assist learners in sub-specialty specific patient decision making scenarios. Competing Interests: None. (© 2023 The Authors. OTO Open published by Wiley Periodicals LLC on behalf of American Academy of Otolaryngology–Head and Neck Surgery Foundation.) |
Databáze: | MEDLINE |
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