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Author

Chao Yan

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Review Open access Oct 2026

Guideline-grounded large language models for extracting genome-informed clinical recommendations from electronic health records.

BACKGROUND Precision medicine requires delivery and tracking of genome-informed risk assessments (GIRAs), often documented in unstructured electronic health record (EHR) notes, making large-scale evaluation reliant on labor-intensive manual chart review. Large language models (LLMs) offer a promising approach to automa...

Yi Xin, K. W. Davis, Wu-Chen Su et al. · 0 citations
#artificial intelligence Preprint Jun 2026

Teaching agentic AI to learn expert reasoning for rare disease diagnosis

Rare disease diagnosis depends on expert reasoning that is scarce and difficult to transfer; off-the-shelf large language models (LLMs) rank the correct disease first in only 35.4% of benchmark cases. Here we show that this expert reasoning can be converted into a scalable AI capability through a governed learning proc...

Minh-Ha Nguyen, Erica Gray, B. Schuler et al. · 0 citations

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