Going beyond algorithmic fairness in health care
Abstract
Algorithmic bias can create and exacerbate health disparities. Famously, in 2019 Obermeyer and colleagues showed that an algorithm that used predicted health-care costs as a proxy for health-care needs exhibited racial bias, resulting in the false assumption that Black patients in the USA are healthier than equally sick White patients. Additionally, a study by Seyyed-Kalantari and colleagues showed that underserved patient populations can be underdiagnosed by state-of-the-art computer vision algorithms in x-ray pathology classifications.
Fields of Study & Subjects
Artificial Intelligence in Healthcare and Education
Ethics and Social Impacts of AI
Electronic Health Records Systems
Publication details
- Journal / source
- The Lancet Digital Health
- Publisher
- Elsevier BV
- Volume
- 8
- Issue
- 7
- Pages
- 101084–101084
- Publication date
- 1 July 2026
- Language
- EN