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References from Guideline-grounded large language models for extracting genome-informed clinical recommendations from electronic health records. Local targets link to admitted publications; unresolved targets remain external evidence.
Returning integrated genomic risk and clinical recommendations: the eMERGE study
10.1016/j.gim.2023.100006 · 2023 · External reference
Reasons for choice of referral physician among primary care and specialist physicians
10.1007/s11606-011-1861-z · 2012 · External reference
Identification of social risk-related referrals in discrete primary care electronic health record data: lessons learned from a novel methodology
10.1111/1475-6773.14443 · 2025 · External reference
The eMERGE network: a consortium of biorepositories linked to electronic medical records data for conducting genomic studies
10.1186/1755-8794-4-13 · 2011 · External reference
Achieving expert-level clinical infection detection with LLMs from clinical documents: validation in complex patient cases with cirrhosis
10.64898/2026.01.13.26344046 · 2026 · External reference
Utilizing large language models for detecting hospital-acquired conditions: an empirical study on pulmonary embolism
10.1093/jamia/ocaf048 · 2025 · External reference
10.63317/5mszwmbhujbq
10.63317/5mszwmbhujbq · 2024 · External reference
Natural language processing in electronic health records in relation to healthcare decision-making: a systematic review
10.1016/j.compbiomed.2023.106649 · 2023 · External reference
Accuracy, consistency, and hallucination of large language models when analyzing unstructured clinical notes in electronic medical records
10.1001/jamanetworkopen.2024.25953 · 2024 · External reference
Clinical natural language processing for secondary uses
10.1016/j.jbi.2024.104596 · 2024 · External reference
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Predicting the target specialty of referral notes to estimate per-specialty wait times with machine learning
10.1371/journal.pone.0267964 · 2022 · External reference
Unresolved reference
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2026 · External reference
Improving automated deep phenotyping through large language models using retrieval-augmented generation
10.1186/s13073-025-01521-w · 2025 · External reference
A retrieval-augmented generation large language model framework for accurate dementia identification from electronic health records
10.64898/2026.01.24.26344477 · 2026 · External reference
