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A Novel Framework to Integrate Data on Sex as a Biological Variable into Medical Education
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Zitationen
5
Autoren
2025
Jahr
Abstract
This study provides one of the first empirical demonstrations of a scalable AI framework for streamlining curricular review and enhancing the integration of clinically relevant content on SABV in medical education. AI-assisted review offers a pathway to transform clinical care by ensuring that future physicians are provided with evidence-based data showing the influence of sex on health.
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