Artificial intelligence-created personal statements compared with applicant-written personal statements: a survey of obstetric anesthesia fellowship program directors in the United States

IF 2.6 3区 医学 Q2 ANESTHESIOLOGY International journal of obstetric anesthesia Pub Date : 2024-11-15 DOI:10.1016/j.ijoa.2024.104293
A.M. Ruiz , M.B. Kraus , K.W. Arendt , D.R. Schroeder , E.E. Sharpe
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Abstract

Background

A personal statement is a common requirement in medical residency and fellowship applications. Generative artificial intelligence may be used to create a personal statement for these applications.

Methods

Two personal statements were created using OpenAI’s Chat Generative Pre-trained Transformer (ChatGPT) and two applicant-written statements were collected. A survey was sent to obstetric anesthesia fellowship program directors in the United States to assess the perceived readability, authenticity, and originality of the four personal statements. In addition, the survey assessed perceptions of applicants who use artificial intelligence to write a personal statement, including their integrity, work ethic, reliability, intelligence, and English proficiency.

Results

Surveyed fellowship directors could not accurately discern whether statements were applicant-written or artificial intelligence-generated. The artificial intelligence-generated personal statements were rated as more readable and original than the applicant-written statements. Most program directors were moderately or extremely concerned about the applicant’s integrity, work ethic, and reliability if they suspected the applicant utilized ChatGPT.

Conclusions

Program directors could not accurately discern if the statements were written by a person or artificial intelligence and would have concerns about an applicant suspected of using artificial intelligence. Medical training programs may benefit from outlining their expectations regarding applicants’ use of artificial intelligence.
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人工智能创建的个人陈述与申请人撰写的个人陈述比较:对美国产科麻醉研究金项目主任的调查
背景个人陈述是医学住院医师和研究员申请中的一项常见要求。方法使用 OpenAI 的 Chat Generative Pre-trained Transformer (ChatGPT) 创建了两份个人陈述,并收集了两份申请人撰写的陈述。我们向美国的产科麻醉奖学金项目主任发送了一份调查问卷,以评估这四份个人陈述的可读性、真实性和原创性。此外,调查还评估了对使用人工智能撰写个人陈述的申请人的看法,包括他们的诚信度、职业道德、可靠性、智力和英语水平。与申请人撰写的个人陈述相比,人工智能生成的个人陈述被评为更具可读性和原创性。如果怀疑申请人使用了 ChatGPT,大多数项目主任会对申请人的诚信、职业道德和可靠性表示中度或高度关注。医学培训项目可能会受益于对申请人使用人工智能的期望。
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来源期刊
CiteScore
4.70
自引率
7.10%
发文量
285
审稿时长
58 days
期刊介绍: The International Journal of Obstetric Anesthesia is the only journal publishing original articles devoted exclusively to obstetric anesthesia and bringing together all three of its principal components; anesthesia care for operative delivery and the perioperative period, pain relief in labour and care of the critically ill obstetric patient. • Original research (both clinical and laboratory), short reports and case reports will be considered. • The journal also publishes invited review articles and debates on topical and controversial subjects in the area of obstetric anesthesia. • Articles on related topics such as perinatal physiology and pharmacology and all subjects of importance to obstetric anaesthetists/anesthesiologists are also welcome. The journal is peer-reviewed by international experts. Scholarship is stressed to include the focus on discovery, application of knowledge across fields, and informing the medical community. Through the peer-review process, we hope to attest to the quality of scholarships and guide the Journal to extend and transform knowledge in this important and expanding area.
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