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PlainQAFact: Retrieval-augmented factual consistency evaluation metric for biomedical plain language summarization
All content on this site: Copyright © 2026 Elsevier B.V., its licensors, and contributors. All rights are reserved, includ...
Heat and hearts: An exposure-anchored computational phenotyping framework for assessing cardiovascular vulnerability during extreme heat
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DynaMamba: Multi-scale dynamic interacting Mamba network for irregular clinical time series classification
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Exploring efficiency frontiers of thinking budget in medical reasoning: Scaling laws between computational resources and reasoning quality
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DeepSTFSynergy: A multi-scale structural information fusion method for personalized drug combination prediction
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Multi-domain ECG feature extraction enable accurate automated recognition of bipolar disorder, depression and schizophrenia
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Personalized federated learning for medical vision-language models via efficient fine-tuning and uncertainty-aware disentanglement
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A heterogeneous graph neural network for candidate gene prediction in endometriosis
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A study of large language models for patient information extraction: Model architecture, fine-tuning strategy, and multi-task instruction tuning
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Extraction of distant recurrence sites for breast cancer patients from free-text clinical notes using large language models
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A comprehensive survey on medical concept normalization: Datasets, techniques, applications, and future directions
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Challenges of health data standard adoption and usage: a systematic review
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Exploring the role of reinforcement learning in vision-language models for cardiovascular disease decision support
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AI-assisted protocol information extraction for improved accuracy and efficiency in clinical trial workflows
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A multi-modal survival prediction framework with group-based batch training and structural consistency alignment
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Towards Reliable Clinical Data: A Collaborative Data Governance Architecture with Lifecycle Integration
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A pipeline towards missing IS-A relationship discovery in the Gene Ontology
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Learning to take it personally: Precision drug repurposing through patient-specific loss on knowledge graphs using Biobank data
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Diagnostic performance of AI-based EEG interpretation versus human clinical experts for epilepsy detection: systematic review and meta-analysis
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Rethinking fairness in unsupervised healthcare AI: A methodological scoping review
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Joint modeling of mixed outcomes using a rank-based sparse neural network
With the increasing maturity of high-throughput profiling technologies, survival time and various disease phenotypes have ...
Uncovering digital overdiagnosis – Quantification and mitigation using clinical trajectories: Heparin-induced thrombocytopenia use case
Volume 169, September 2025, 104876Author links open overlay panel, , AbstractObjectiveOverdiagnosis occurs when abnormalit...
A multifaceted approach to drug–drug interaction extraction with fusion strategies
Combining multiple drugs to treat patients is a common practice, especially in complex diseases and severe conditions. How...
Natural language processing for scalable feature engineering and ultra-high-dimensional confounding adjustment in healthcare database studies
Healthcare data generated from clinical practice, including electronic health records (EHR) and insurance claims, can comp...
Variational temporal deconfounder network for individualized treatment effect estimation with longitudinal observational data
Estimating the causal effect of a treatment, intervention, or exposure on an outcome is critical for evidence-based medici...
GutGPT: A multidimensional knowledge-enhanced large language model for gastrointestinal medicine
Currently, the incidence and mortality rates of gastrointestinal (GI) diseases remain high, with over 10 million patients ...
Adaptive-AutoMO: A domain adaptive automated multiobjective neural network for reliable lesion malignancy prediction via digital breast tomosynthesis
Volume 169, September 2025, 104869Author links open overlay panel, , , , AbstractEarly diagnosis of breast cancer remains ...
Measuring disease burden with individual cumulative incidence in patients with cirrhosis
The Chicago Area Patient-Centered Outcomes Research Network (CAPriCORN) data used in this study are not publicly available...
Federated causal discovery with missing data in a multicentric study on endometrial cancer
Volume 169, September 2025, 104877Author links open overlay panel, , , , , , AbstractObjectives:Establishing causal depend...
Identifying task groupings for multi-task learning using pointwise V-usable information
Even in the era of Large Language Models (LLMs) which are claimed to be solutions for many tasks, finetuning language mode...
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