<scp>ChatG</scp>‐<scp>PD</scp>? Comparing large language model artificial intelligence and faculty rankings of the competitiveness of standardized letters of evaluation
The LLM generated rankings showed strong correlation with expert faculty consensus rankings with minimal input of faculty time and effort.
Authors
- Morgan Sehdev (ORCID: https://orcid.org/0000-0002-2981-0512)
- Caitlin Schrepel (ORCID: https://orcid.org/0000-0003-0204-7657)
- Al’ai Alvarez (ORCID: https://orcid.org/0000-0002-5438-2476)
- Sharon Bord (ORCID: https://orcid.org/0009-0008-5987-4139)
- Nicole M. Dubosh (ORCID: https://orcid.org/0000-0001-8674-5334)
- Eric Shappell (ORCID: https://orcid.org/0000-0003-0281-3219)
- Alexis Pelletier‐Bui (ORCID: https://orcid.org/0000-0002-9969-4123)
- Benjamin Schnapp (ORCID: https://orcid.org/0000-0001-5031-8269)
- Yoon Soo Park (ORCID: https://orcid.org/0000-0001-8583-4335)
Institutions
- Brigham and Women's Hospital (US)
- Beth Israel Deaconess Medical Center (US)
- University of Wisconsin–Madison (US)
- Harvard University (US)
- Johns Hopkins University (US)
- University of Washington (US)
- Johns Hopkins Medicine (US)
- University of Illinois Chicago (US)
- Massachusetts General Hospital (US)
- Cooper Medical School of Rowan University (US)
- Harvard Affiliated Emergency Medicine Residency (US)
- Stanford University (US)
Publication Details
- Journal
- AEM Education and Training
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1002/aet2.11052
- Citations
- 3
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.36