Algorithmic Bias in AI-Based Diagnostic Models: A Systematic Review and Lifecycle Framework for Fairness Auditing and Governance in Healthcare
The Equity-Aware Bias Detection and Mitigation Framework (EA-BDMF) is proposed, a literature-derived, implementation-oriented lifecycle specification for healthcare AI that links data auditing, prevalence-aware preprocessing, fairness-constrained training, calibration and threshold governance, and post-deployment monit...