Mike Schaekermann, Terry Spitz, Malcolm Pyles, Heather Cole-Lewis, Ellery Wulczyn, Stephen R Pfohl, Donald Martin, Ronnachai Jaroensri, Geoff Keeling, Yuan Liu, Stephanie Farquhar, Qinghan Xue, Jenna Lester, Cían Hughes, Patricia Strachan, Fraser Tan, Peggy Bui, Craig H Mermel, Lily H Peng, Yossi Matias, Greg S Corrado, Dale R Webster, Sunny Virmani, Christopher Semturs, Yun Liu, Ivor Horn, Po-Hsuan Cameron Chen
BACKGROUND: Artificial intelligence (AI) has repeatedly been shown to encode historical inequities in healthcare. We aimed to develop a framework to quantitatively assess the performance equity of health AI technologies and to illustrate its utility via a case study. METHODS: Here, we propose a methodology to assess whether health AI technologies prioritise performance for patient populations experiencing worse outcomes, that is complementary to existing fairness metrics...
April 2024: EClinicalMedicine