#medical-documentation News & Analysis

2 articles tagged with #medical-documentation. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBullisharXiv – CS AI · May 297/10

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ProtoMedAgent: Multimodal Clinical Interpretability via Privacy-Aware Agentic Workflows

ProtoMedAgent introduces a framework that combines interpretable prototype networks with privacy-aware AI workflows to generate clinically accurate medical reports without the hallucination issues common in standard RAG systems. The approach achieves 91.2% faithfulness in clinical documentation while protecting patient privacy through k-anonymity and ℓ-diversity constraints.

AINeutralarXiv – CS AI · May 77/10

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Evaluating Patient Safety Risks in Generative AI: Development and Validation of a FMECA Framework for Generated Clinical Content

Researchers developed and validated the first FMECA (Failure Mode, Effects, and Criticality Analysis) framework to systematically assess patient safety risks in clinical summaries generated by large language models. Testing with GPT-OSS 120B on real hospital discharge summaries demonstrated moderate-to-substantial inter-rater agreement and identified 14 distinct failure modes, establishing a reproducible methodology for evaluating AI-generated clinical content safety.