AINeutralarXiv – CS AI · 10h ago6/10
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Cohort-Anchored Foundation Models for Electronic Health Records: From Risk Scores to Auditable Peer Cohorts
Researchers propose CAFM, a Cohort-Anchored Foundation Model framework designed to improve interpretability and clinical reliability of AI systems for electronic health records by elevating patient cohorts to a primary learning object. The four-stage framework addresses limitations in existing EHR models through better data curation, cohort-conditioned training, multimodal alignment, and clinician feedback, with case studies demonstrating applications across kidney injury prediction, cardiovascular risk assessment, and imaging analysis.