The Use of Facial Recognition Software and Published Manuscripts to Examine Trends in Surgical Editorial Board Diversity.
Journal:
The Journal of surgical research
PMID:
36803877
Abstract
INTRODUCTION: Recent social justice movements have highlighted the need for improved diversity and inclusion. These movements have emphasized the need for inclusivity of all genders and races in all sectors including surgical editorial boards. There is currently not an established, standardized method to assess the gender, racial, and ethnic makeup of surgical editorial board rosters, yet artificial intelligence is a method that can be utilized to determine gender and race in an unbiased manner. The aim of the present study is to determine if recent social justice movements correlate with an increase in diversity-themed articles published and if there is an increase in the gender and racial makeup of surgical editorial boards determined by artificial intelligence software.