“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.

Bias recognition and mitigation strategies in artificial intelligence healthcare applications

Fereshteh Hasanzadeh, Colin B. Josephson, Gabriella Waters et al. · March 11, 2025 · Social Sciences

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.

Source page DOI: 10.1038/s41746-025-01503-7