Bias and Oversight in Clinical AI: A Review of Decision Support ...
The review says racial and ethnic bias in AI decision-support tools can stem from unrepresentative training data, missing equity auditing, and weak transparency requirements. It recommends standardized subgroup performance reporting and formal fairness assessments to keep biased tools out of practice.
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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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