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Readable research linked to original sources
Browse normalized, publication-ready research with direct links to its evidence and source.
Loading articles data…
Readable research linked to original sources
Browse normalized, publication-ready research with direct links to its evidence and source.
2 articles
Newest firstPurposeStructural obstacles in healthcare related to social, economic, and political factors contribute to inequities in patient care. Combined didactic and experiential learning may be more effective to teach medical students how to address implicit bias and microaggression in the clinical setting. MethodsRising third year medical students at New York Medical College participated in a student-led implicit bias an…
Open article record in new tab ↗11.1 ObjectivesBiases inherent in electronic health records (EHRs), and therefore in medical artificial intelligence (AI) models may significantly exacerbate health inequities and challenge the adoption of ethical and responsible AI in healthcare. Biases arise from multiple sources, some of which are not as documented in the literature. Biases are encoded in how the data has been collected and labeled, by implicit…