EHRSHOT
PulseAugur coverage of EHRSHOT — every cluster mentioning EHRSHOT across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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New contrastive learning method improves cross-national EHR data transfer
Researchers have developed a new pre-training objective called Asymmetric Supervised Contrastive Learning (Asymmetric SupCon) to improve the transferability of Electronic Health Record (EHR) representations across diffe…
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New EHR risk prediction method uses structured evidence routing
Researchers have developed a novel approach called structured evidence routing for predicting incident risk using longitudinal electronic health records (EHRs). This method employs a router-predictor-reviewer workflow t…
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New EHR Foundation Model predicts chronic diseases across US and Taiwan cohorts
Researchers have developed a new Electronic Health Record (EHR) Foundation Model designed for large-scale chronic disease prediction. This model, trained on billions of medical events from over 5 million patients across…
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New BERT-style model enhances EHR analysis with lab data and explainability
Researchers have developed BERT-LER, a novel BERT-style model designed for analyzing structured electronic health records (EHRs). This model effectively encodes laboratory test results as discrete tokens while preservin…
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ChatHealthAI integrates EHR data with LLMs for clinical reasoning
Researchers have developed ChatHealthAI, a new framework designed to improve clinical reasoning by integrating electronic health record (EHR) data with large language models (LLMs). This approach combines the predictive…