Journal of the American Medical Informatics Association

Advancing the application and evaluation of large language models in health and biomedicine

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

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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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Revisions to the Safety Assurance Factors for Electronic Health Record Resilience (SAFER) Guides to update national recommendations for safe use of electronic health records

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

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

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

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

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

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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 Get access

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

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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 Get access

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

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

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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 Get access

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