Jad Mansour, Mark Burman, Mitchell Bernstein, Emilie Sandman, Kaissar Yammine, Mohammad Daher, Paul Andre Martineau
{"title":"我的推荐信应该由人工智能来写吗?","authors":"Jad Mansour, Mark Burman, Mitchell Bernstein, Emilie Sandman, Kaissar Yammine, Mohammad Daher, Paul Andre Martineau","doi":"10.1503/cjs.009623","DOIUrl":null,"url":null,"abstract":"<p><p><b>Summary</b>Letters 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 (<i>p</i> < 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 (<i>p</i> < 0.05).</p>","PeriodicalId":9573,"journal":{"name":"Canadian Journal of Surgery","volume":"67 3","pages":"E243-E246"},"PeriodicalIF":2.2000,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11161135/pdf/","citationCount":"0","resultStr":"{\"title\":\"Should my recommendation letter be written by artificial intelligence?\",\"authors\":\"Jad Mansour, Mark Burman, Mitchell Bernstein, Emilie Sandman, Kaissar Yammine, Mohammad Daher, Paul Andre Martineau\",\"doi\":\"10.1503/cjs.009623\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><b>Summary</b>Letters 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 (<i>p</i> < 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 (<i>p</i> < 0.05).</p>\",\"PeriodicalId\":9573,\"journal\":{\"name\":\"Canadian Journal of Surgery\",\"volume\":\"67 3\",\"pages\":\"E243-E246\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2024-06-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11161135/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Canadian Journal of Surgery\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1503/cjs.009623\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/5/1 0:00:00\",\"PubModel\":\"Print\",\"JCR\":\"Q2\",\"JCRName\":\"SURGERY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Canadian Journal of Surgery","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1503/cjs.009623","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/5/1 0:00:00","PubModel":"Print","JCR":"Q2","JCRName":"SURGERY","Score":null,"Total":0}
Should my recommendation letter be written by artificial intelligence?
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).
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.