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Examining implementation outcomes in health information exchange systems: A scoping review
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Analysis of longitudinal social media for monitoring symptoms during a pandemic
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Deep learning in surgical process Modeling: A systematic review of workflow recognition
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Taming vision transformers for clinical laryngoscopy assessment
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Valley-Forecast: Forecasting Coccidioidomycosis incidence via enhanced LSTM models trained on comprehensive meteorological data
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Modelling diversity in hospital strategies in city-scale ambulance dispatching with coupled game-theoretic model and discrete-event simulation
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Journal's cover
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BiomedRAG: A retrieval augmented large language model for biomedicine
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A Multi-Source drug combination and Omnidirectional feature fusion approach for predicting Drug-Drug interaction events
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Early detection of subjective cognitive decline from self-reported symptoms: An interpretable attention-cost fusion approach
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DOME: Directional medical embedding vectors from electronic health records
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A pipeline for harmonising NHS Scotland laboratory data to enable national-level analyses
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Unveiling pathology-related predictive uncertainty of glomerular lesion recognition using prototype learning
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Visual-linguistic Diagnostic Semantic Enhancement for medical report generation
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Human intention recognition for trauma resuscitation: An interpretable deep learning approach for medical process data
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Reviewer acknowledgement 2024
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Repeatable process for extracting health data from HL7 CDA documents
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Modeling repeated measurements data using the Multilevel Bayesian network: A case of child morbidity
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Novel machine learning model for predicting cancer drugs’ susceptibilities and discovering novel treatments
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Coherence and comprehensibility: Large language models predict lay understanding of health-related content
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Efficient strabismus diagnosis from small samples: Harnessing spatial features for improved accuracy
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Enhancing suicidal behavior detection in EHRs: A multi-label NLP framework with transformer models and semantic retrieval-based annotation
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How to identify patient perception of AI voice robots in the follow-up scenario? A multimodal identity perception method based on deep learning
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Biomedical document-level relation extraction with thematic capture and localized entity pooling
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A multimodal approach for few-shot biomedical named entity recognition in low-resource languages
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Taxonomy-based prompt engineering to generate synthetic drug-related patient portal messages
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Structural analysis and intelligent classification of clinical trial eligibility criteria based on deep learning and medical text mining
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Call for Papers: Data Generation in Healthcare Environments
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Early multi-cancer detection through deep learning: An anomaly detection approach using Variational Autoencoder
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MultiADE: A Multi-domain benchmark for Adverse Drug Event extraction
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