Advance articles

Recovering missing electronic health record mortality data with a machine learning-enhanced data linkage process

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Detecting emergencies in patient portal messages using large language models and knowledge graph-based retrieval-augmented generation

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Assessing health literacy and diversity within the All of Us Research Program

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Letter to the Editor in response to “Application of a digital quality measure for cancer diagnosis in Epic Cosmos”

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Evaluating the effectiveness of biomedical fine-tuning for large language models on clinical tasks

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Beyond Phecodes: leveraging PheMAP to identify patients lacking diagnosis codes in electronic health records

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DiMB-RE: mining the scientific literature for diet-microbiome associations

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AI-Techniques Loss-Based Algorithm for Severity Classification (ATLAS): a novel approach for continuous quantification of exertional symptoms during incremental exercise testing

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Predicting postoperative chronic opioid use with fair machine learning models integrating multi-modal data sources: a demonstration of ethical machine learning in healthcare

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Reformulating patient stratification for targeting interventions by accounting for severity of downstream outcomes resulting from disease onset: a case study in sepsis

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High-performance automated abstract screening with large language model ensembles

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Interoperability of health-related social needs data at US hospitals

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The value of simulation testing for the evaluation of ambient digital scribes: a case report

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Robust privacy amidst innovation with large language models through a critical assessment of the risks

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Equity implications of extended reality technologies for health and procedural anxiety: a systematic review and implementation-focused framework

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Utilizing large language models for detecting hospital-acquired conditions: an empirical study on pulmonary embolism

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Patient and clinician acceptability of automated extraction of social drivers of health from clinical notes in primary care

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Unmet social needs and diverticulitis: a phenotyping algorithm and cross-sectional analysis

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Emerging algorithmic bias: fairness drift as the next dimension of model maintenance and sustainability

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Optimizing the efficiency and effectiveness of data quality assurance in a multicenter clinical dataset

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A call for the informatics community to define priority practice and research areas at the intersection of climate and health: report from 2023 mini-summit

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Associations of perceived discrimination with health outcomes and health disparities in the All of Us cohort

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Letter to the editors in response to “Leveraging artificial intelligence to summarize abstracts in lay language for increasing research accessibility and transparency”

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How the National Library of Medicine should evolve in an era of artificial intelligence

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Large language models are less effective at clinical prediction tasks than locally trained machine learning models

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Mitigation of outcome conflation in predicting patient outcomes using electronic health records

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Correction to: Development and evaluation of a training curriculum to engage researchers on accessing and analyzing the All of Us data

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Development and validation of a multi-stage self-supervised learning model for optical coherence tomography image classification

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Expectations of healthcare AI and the role of trust: understanding patient views on how AI will impact cost, access, and patient-provider relationships

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The health data utility and the resurgence of health information exchanges as a national resource

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Assessment of health conditions from patient electronic health record portals vs self-reported questionnaires: an analysis of the INSPIRE study

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A perspective on individualized treatment effects estimation from time-series health data

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MedBot vs RealDoc: efficacy of large language modeling in physician-patient communication for rare diseases

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Integrating state-space modeling, parameter estimation, deep learning, and docking techniques in drug repurposing: a case study on COVID-19 cytokine storm

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Correction to: Inpatient nurses’ preferences and decisions with risk information visualization

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Reply to Layne et al.’s Letter to the Editor

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Principles and implementation strategies for equitable and representative academic partnerships in global health informatics research

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Digital health equity frameworks and key concepts: a scoping review

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myAURA: a personalized health library for epilepsy management via knowledge graph sparsification and visualization

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Machine learning-based risk prediction of outcomes in patients hospitalized with COVID-19 in Australia: the AUS-COVID Score

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VIEWER: an extensible visual analytics framework for enhancing mental healthcare

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Interdisciplinary systems may restore the healthcare professional–patient relationship in electronic health systems

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Smart Imitator: Learning from Imperfect Clinical Decisions

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Using large language models to detect outcomes in qualitative studies of adolescent depression

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Predicting mortality in hospitalized influenza patients: integration of deep learning-based chest X-ray severity score (FluDeep-XR) and clinical variables

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DySurv: dynamic deep learning model for survival analysis with conditional variational inference

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