Comparing IM Residency Application Personal Statements Generated by GPT-4 and Authentic Applicants
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11606-024-08784-w.pdf
Reference7 articles.
1. Boscardin CK, Gin B, Golde PB, Hauer KE. ChatGPT and Generative Artificial Intelligence for Medical Education: Potential Impact and Opportunity [published online ahead of print, 2023 Aug 31]. Acad Med. 2023; https://doi.org/10.1097/ACM.0000000000005439.
2. Nayak A, Alkaitis MS, Nayak K, Nikolov M, Weinfurt KP, Schulman K. Comparison of History of Present Illness Summaries Generated by a Chatbot and Senior Internal Medicine Residents. JAMA Intern Med. Published online July 17, 2023. https://doi.org/10.1001/jamainternmed.2023.2561.
3. Kung-Yee Liang; Scott Zeger. Longitudinal data analysis using generalized linear models. Biometrika. 1986;73 (1): 13–22., for generalized estimating equations.
4. Johnstone RE, Neely G, Sizemore DC. Artificial intelligence software can generate residency application personal statements that program directors find acceptable and difficult to distinguish from applicant compositions. J Clin Anesth. 2023;89:111185. https://doi.org/10.1016/j.jclinane.2023.111185
5. Patel V, Deleonibus A, Wells MW, Bernard SL, Schwarz GS. Distinguishing Authentic Voices in the age of ChatGPT: Comparing AI-Generated and Applicant-Written Personal Statements for Plastic Surgery Residency Application. Ann Plast Surg. 2023;91(3):324-325. https://doi.org/10.1097/SAP.0000000000003653
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