Class in Session: Analysis of GPT-4-created Plastic Surgery In-service Examination Questions

URN to cite this document:: urn:nbn:de:bvb:355-epub-593361
DOI to cite this document:: 10.5283/epub.59336

Najafali, Daniel ; Galbraith, Logan G. ; Camacho, Justin M. ; Stoffel, Victoria ; Herzog, Isabel ; Moss, Civanni ; Taiberg, Stephanie L. ; Knoedler, Leonard

License: Creative Commons Attribution Non-commercial No Derivatives 4.0
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Date of publication of this fulltext: 04 Oct 2024 17:03

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Abstract

Background: The Plastic Surgery In-Service Training Examination (PSITE) remains a critical milestone in residency training. Successful preparation requires extensive studying during an individual’s residency. This study focuses on the capacity of Generative Pre-trained Transformer 4 (GPT-4) to generate PSITE practice questions. Methods: GPT-4 was prompted to generate multiple choice ...