Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71757, first published .
Detecting, Characterizing, and Mitigating Implicit and Explicit Racial Biases in Health Care Datasets With Subgroup Learnability: Algorithm Development and Validation Study

Detecting, Characterizing, and Mitigating Implicit and Explicit Racial Biases in Health Care Datasets With Subgroup Learnability: Algorithm Development and Validation Study

Detecting, Characterizing, and Mitigating Implicit and Explicit Racial Biases in Health Care Datasets With Subgroup Learnability: Algorithm Development and Validation Study

Faris Gulamali   1 , MD ;   Ashwin Shreekant Sawant   1 , MD ;   Lora Liharska   1 , PhD ;   Carol Horowitz   1 , MD, MPH ;   Lili Chan   1 , MD, MSCR ;   Ira Hofer   1 , MD ;   Karandeep Singh   2 , MD ;   Lynne Richardson   1 , MD ;   Emmanuel Mensah   3 , MD, MBA ;   Alexander Charney   1 , MD, PhD ;   David Reich   1 , MD ;   Jianying Hu   4 , PhD ;   Girish Nadkarni   1 , MD, MPH

1 Icahn School of Medicine at Mount Sinai, New York, NY, United States

2 University of California, San Diego, San Diego, CA, United States

3 Christiana Care Health System, Wilmington, DE, United States

4 IBM Research, Yorktown Heights, NY, United States

Corresponding Author: