New AI Medical Models Still Mirror Race and Gender Bias, Study Finds
A recent study reported by a healthcare technology news outlet finds that advanced AI systems used in medicine continue to encode racial and gender stereotypes, risking the amplification of existing disparities in care. Researchers call for stricter oversight, more diverse datasets, mandatory bias testing before approval, and post‑market surveillance to safeguard patient safety and equity.
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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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