ArticleCureus2025
Implementation of Artificial Intelligence in Writing Letters of Recommendation.
Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
0 citing papers in PubMed.
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionLetters of recommendation (LoRs) play a critical role in the residency application process, yet their subjectivity raises concerns about reliability. Artificial intelligence (AI) offers a standardized alternative to human-generated LoRs. This study examines the quality of AI-generated LoRs compared to traditional LoRs.
methodsFaculty at West Virginia University School of Medicine rated LoRs for residency candidates without knowledge that AI-generated letters were submitted. Candidate quality was controlled using pre-interview Thalamus (SJ MedConnect, Inc. dba ThalamusGME, Santa Clara, CA, US) scores. Independent sample t test and Kendall's W test assessed differences in ratings and interrater agreement.
resultsAI-generated LoRs scored higher than traditional LoRs (4.14 vs. 3.29, p < 0.0001). For lower-quality candidates, AI LoRs significantly outperformed traditional LoRs (4.17 vs. 2.85, p < 0.0001). In higher-quality candidates, AI LoRs also scored higher (4.13 vs. 3.63, p = 0.006). Kendall's W test demonstrated interrater concordance (p < 0.05).
conclusionsAI-generated LoRs were rated superior to traditional LoRs, particularly for lower-quality candidates. These findings suggest AI could serve as an adjunct to enhance LoR quality and standardization. Further research is needed to explore ethical considerations and AI's broader applicability in the letter-writing process.
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