# Bias recognition and mitigation strategies in artificial intelligence healthcare applications

“Bias recognition and mitigation strategies in artificial intelligence healthcare applications” (2025), by Fereshteh Hasanzadeh et al. Social Sciences research paper. Original abstract below, unchanged. No free PDF was found.

- Authors: Fereshteh Hasanzadeh, Colin B. Josephson, Gabriella Waters, Demilade A. Adedinsewo, Zahra Azizi, James A. White
- Published: March 11, 2025
- Field: Social Sciences
- DOI: https://doi.org/10.1038/s41746-025-01503-7
- Source: https://doi.org/10.1038/s41746-025-01503-7

## Abstract

Artificial intelligence (AI) is delivering value across all aspects of clinical practice. However, bias may exacerbate healthcare disparities. This review examines the origins of bias in healthcare AI, strategies for mitigation, and responsibilities of relevant stakeholders towards achieving fair and equitable use. We highlight the importance of systematically identifying bias and engaging relevant mitigation activities throughout the AI model lifecycle, from model conception through to deployment and longitudinal surveillance.

Canonical page: https://nerdi.pages.dev/paper/W4408314709
Read three real papers a day in Nerdi (iPhone): https://apps.apple.com/app/apple-store/id6813826387?pt=128757794&ct=web-paper&mt=8