Should my recommendation letter be written by artificial intelligence?

IF 2.2 4区 医学 Q2 SURGERY
Canadian Journal of Surgery Pub Date : 2024-06-06 Print Date: 2024-05-01 DOI:10.1503/cjs.009623
Jad Mansour, Mark Burman, Mitchell Bernstein, Emilie Sandman, Kaissar Yammine, Mohammad Daher, Paul Andre Martineau
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引用次数: 0

Abstract

SummaryLetters of recommendation are increasingly important for the residency match. We assessed whether an artificial intelligence (AI) tool could help in writing letters of recommendation by analyzing recommendation letters written by 3 academic staff and AI duplicate versions for 13 applicants. The preferred letters were selected by 3 blinded orthopedic program directors based on a pre-determined set of criteria. The first orthopedic program director selected the AI letter for 31% of applicants, and the 2 remaining program directors selected the AI letter for 38% of applicants, with the staff-written versions selected more often by all of the program directors (p < 0.05). The first program director recognized only 15% of the AI-written letters, the second was able to identify 92%, and the third director identified 77% of AI-written letters (p < 0.05).

我的推荐信应该由人工智能来写吗?
摘要推荐信对于住院医师匹配越来越重要。我们通过分析 3 名学术人员撰写的推荐信和 13 名申请人的人工智能重复版本,评估了人工智能(AI)工具能否帮助撰写推荐信。推荐信由 3 位骨科项目主任根据预先确定的标准盲选。第一位骨科项目主任为 31% 的申请者选择了人工智能推荐信,其余两位项目主任为 38% 的申请者选择了人工智能推荐信,所有项目主任都更倾向于选择由学术人员撰写的推荐信(P < 0.05)。第一位项目主任只识别出 15%的人工智能信函,第二位主任能够识别出 92%,第三位主任识别出 77% 的人工智能信函(p < 0.05)。
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
CiteScore
3.00
自引率
8.00%
发文量
120
审稿时长
6-12 weeks
期刊介绍: The mission of CJS is to contribute to the meaningful continuing medical education of Canadian surgical specialists, and to provide surgeons with an effective vehicle for the dissemination of observations in the areas of clinical and basic science research.
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