Indistinguishable Narratives: A Blinded Comparison of AI- Versus Human-Written Personal Statements in Application to Orthopaedic Surgery Residency.

Journal of graduate medical education Pub Date : 2026-04-01 Epub Date: 2026-04-15 DOI:10.4300/JGME-D-25-00418.1
Henry Avetisian, Marc A Abdou, William J Karakash, Daniel Rusu, Aidan Lindgren, Matthew C Gallo, Joseph Patterson, Jeffrey C Wang, Raymond J Hah, Ram K Alluri
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引用次数: 0

Abstract

Background: As residency program applications become more homogenized due to pass-fail United States Medical Licensing Examination Step 1 scores, pre-clinical grading, and standardized letters of recommendation, personal statements remain a key subjective tool to assess applicant fit. With the rise of large language models like ChatGPT, applicants may increasingly use AI to draft these statements.

Objective: To determine whether ChatGPT can generate orthopaedic surgery personal statements that are indistinguishable from and comparable in quality to human-written statements.

Methods: In 2025 at a single urban academic university hospital, ChatGPT-4.0 was given a standardized prompt to generate 5 personal statements across distinct themes. Five de-identified statements from applicants who interviewed or matched at our institution from 2020 to 2021 were randomly selected. The 10 essays were randomized and independently reviewed by 8 blinded assessors, including 6 attending physicians and 2 resident physicians, all of whom serve on the resident admissions committee. Using a 9-question REDCap survey, evaluators rated each statement on readability, originality, authenticity, and overall quality on a 100-point scale; guessed whether each was AI- or human-generated (Yes/No); and indicated whether they would offer an interview (Yes/No). Chi-square tests were used for analysis.

Results: There were no significant differences between ChatGPT and human-written statements in readability (P=.63), originality (P=.48), authenticity (P=.79), or overall quality (P=.84). Assessors could not reliably identify AI- versus human-written statements (19 of 40 vs 22 of 39, P=.43) and interview offers were similarly comparable (29 of 40 vs 29 of 39, P=.85).

Conclusions: ChatGPT can produce orthopaedic surgery personal statements that are both indistinguishable from and comparable in quality to human-written ones.

难以区分的叙述:人工智能与人类在骨科住院医师申请中的个人陈述的盲法比较。
背景:由于美国医师资格考试第一步的及格或不及格分数、临床前分级和标准化的推荐信,住院医师项目申请变得更加同质化,个人陈述仍然是评估申请人是否适合的关键主观工具。随着ChatGPT等大型语言模型的兴起,申请人可能会越来越多地使用人工智能来起草这些陈述。目的:确定ChatGPT是否可以生成与人类书面陈述在质量上无法区分且可媲美的骨科手术个人陈述。方法:于2025年在一家城市学术型大学医院,ChatGPT-4.0被给予一个标准化的提示,生成5个不同主题的个人陈述。从2020年至2021年在我们学校面试或匹配的申请人中随机选择五份去身份陈述。10篇论文由8位盲法评估者随机独立评审,其中包括6位主治医师和2位住院医师,均为住院医师招生委员会成员。通过REDCap的9个问题调查,评价者对每一份陈述的可读性、原创性、真实性和整体质量进行打分,满分为100分;猜测它们是人工智能生成的还是人为生成的(是/否);并表明他们是否会提供面试机会(是/否)。采用卡方检验进行分析。结果:ChatGPT与人工语句在可读性(P= 0.63)、原创性(P= 0.48)、真实性(P= 0.79)和整体质量(P= 0.84)方面无显著差异。评估人员无法可靠地识别人工智能和人类书面陈述(40人中有19人对39人中有22人,P= 0.43),面试机会也具有类似的可比性(40人中有29人对39人中有29人,P= 0.85)。结论:ChatGPT可以生成与人类书写的个人陈述难以区分且质量相当的骨科手术个人陈述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of graduate medical education
Journal of graduate medical education Medicine-Medicine (all)
CiteScore
3.20
自引率
0.00%
发文量
248
期刊介绍: - Be the leading peer-reviewed journal in graduate medical education; - Promote scholarship and enhance the quality of research in the field; - Disseminate evidence-based approaches for teaching, assessment, and improving the learning environment; and - Generate new knowledge that enhances graduates'' ability to provide high-quality, cost-effective care.
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