Use of artificial intelligence for gender bias analysis in letters of recommendation for general surgery residency candidates.

Journal: American journal of surgery
PMID: 34674847

Abstract

BACKGROUND: Letters of recommendation (LoRs) play an important role in resident selection. Author language varies implicitly toward male and female applicants. We examined gender bias in LoRs written for surgical residency candidates across three decades at one institution.

Authors

  • Daniel Sarraf
    University of New Mexico School of Medicine, Albuquerque, NM, USA.
  • Vlad Vasiliu
    Max Stern College, Emek Yezreel, Israel.
  • Ben Imberman
    University of California at Irvine, Irvine, CA, USA.
  • Brenessa Lindeman
    University of Alabama at Birmingham School of Medicine, Birmingham, AL, USA; Department of Surgery, University of Alabama at Birmingham, Birmingham, AL, USA. Electronic address: blindeman@uabmc.edu.

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