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Should my recommendation letter be written by artificial intelligence?
Jad Mansour1, Mark Burman2, Mitchell Bernstein2
1From the Division of Orthopaedic Surgery and Sports Medicine, McGill University Health Centre, Montréal, Que. (Mansour, Burman, Bernstein, Martineau); the Department of Orthopedic Surgery, Hôpital du Sacré-Coeur de Montréal, Canada; Université de Montréal, Montréal, Que. (Sandman); the Department of Orthopedic Surgery, Lebanese American University Medical Center - Rizk Hospital, Achrafieh, Beirut, Lebanon (Yammine); the Department of Orthopedic Surgery, Brown University, Providence, RI, USA (Daher) Jad.mansour09@gmail.com.
Artificial intelligence (AI) tools can assist in drafting residency recommendation letters, but human-written versions were preferred by orthopedic program directors. AI-generated letters were also more difficult for directors to identify.
Area of Science:
- Medical Education
- Artificial Intelligence in Healthcare
- Surgical Residency Admissions
Background:
- Letters of recommendation are critical components of the residency application process.
- The increasing volume of applications necessitates efficient and effective evaluation methods.
- The potential role of artificial intelligence (AI) in academic writing support is under exploration.
Purpose of the Study:
- To evaluate the efficacy of an AI tool in generating letters of recommendation for orthopedic residency applicants.
- To compare AI-generated letters with human-written letters based on program director preferences.
- To assess the ability of program directors to distinguish between AI-generated and human-written letters.
Main Methods:
- Three academic staff members and an AI tool generated recommendation letters for 13 applicants.
- Blinded orthopedic program directors evaluated and selected preferred letters based on predefined criteria.
- Program directors' ability to identify AI-generated letters was recorded.
Main Results:
- Human-written letters were selected more frequently than AI-generated letters by all program directors (p < 0.05).
- AI-generated letters were preferred for 31-38% of applicants, depending on the reviewer.
- Program directors' accuracy in identifying AI-generated letters varied significantly (15% to 92%, p < 0.05).
Conclusions:
- While AI tools can assist in drafting recommendation letters, human-written versions remain preferred in orthopedic residency admissions.
- The detectability of AI-generated letters by experienced reviewers is variable.
- Further research is needed to optimize AI tools for academic writing support in medical education.
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