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AI in MedicineAugust 20, 2026Source: PMC
Bias and Fairness Across the Healthcare AI Lifecycle
This review lays out practical mitigation strategies such as representative datasets, subgroup-stratified evaluation, external validation, and postdeployment monitoring. It argues that addressing bias in healthcare AI must happen across the full product lifecycle, not only after deployment.
LOG Standards provides this short context and directs readers to the named publisher for the complete report. The source article remains the authoritative account of the underlying reporting.
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LOG Standards provides an independent accreditation signal for AI models used in healthcare, helping hospitals, care networks, and AI companies bring clinical AI readiness and governance into clearer conversations.
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