AI Medical Compendium Journal:
Journal of the American Medical Informatics Association : JAMIA

Showing 91 to 100 of 493 articles

Ambient artificial intelligence scribes: physician burnout and perspectives on usability and documentation burden.

Journal of the American Medical Informatics Association : JAMIA Feb 1, 2025
OBJECTIVE: This study evaluates the pilot implementation of ambient AI scribe technology to assess physician perspectives on usability and the impact on physician burden and burnout.
Workflow Quality Improvement Documentation User-Computer Interface Physicians Prospective Studies Workload Electronic Health Records Burnout, Professional Humans Surveys and Questionnaires Artificial Intelligence Female Attitude of Health Personnel Male Pilot Projects
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LCD benchmark: long clinical document benchmark on mortality prediction for language models.

Journal of the American Medical Informatics Association : JAMIA Feb 1, 2025
OBJECTIVES: The application of natural language processing (NLP) in the clinical domain is important due to the rich unstructured information in clinical documents, which often remains inaccessible in structured data. When applying NLP methods to a c...
Neural Networks, Computer Electronic Health Records Natural Language Processing Humans Benchmarking
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Health system-wide access to generative artificial intelligence: the New York University Langone Health experience.

Journal of the American Medical Informatics Association : JAMIA Feb 1, 2025
OBJECTIVES: The study aimed to assess the usage and impact of a private and secure instance of a generative artificial intelligence (GenAI) application in a large academic health center. The goal was to understand how employees interact with this tec...
Artificial Intelligence New York Humans Generative Artificial Intelligence Academic Medical Centers
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Using human factors methods to mitigate bias in artificial intelligence-based clinical decision support.

Journal of the American Medical Informatics Association : JAMIA Feb 1, 2025
OBJECTIVES: To highlight the often overlooked role of user interface (UI) design in mitigating bias in artificial intelligence (AI)-based clinical decision support (CDS).
Decision Support Systems, Clinical Bias Ergonomics Humans Artificial Intelligence Machine Learning Algorithms User-Computer Interface
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Identifying stigmatizing and positive/preferred language in obstetric clinical notes using natural language processing.

Journal of the American Medical Informatics Association : JAMIA Feb 1, 2025
OBJECTIVE: To identify stigmatizing language in obstetric clinical notes using natural language processing (NLP).
Humans Electronic Health Records Language Natural Language Processing Semantics Pregnancy Social Stigma Female Obstetrics
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Machine learning-based prediction models in medical decision-making in kidney disease: patient, caregiver, and clinician perspectives on trust and appropriate use.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2025
OBJECTIVES: This study aims to improve the ethical use of machine learning (ML)-based clinical prediction models (CPMs) in shared decision-making for patients with kidney failure on dialysis. We explore factors that inform acceptability, interpretabi...
Focus Groups Decision Making, Shared Attitude of Health Personnel Renal Dialysis Caregivers Trust Middle Aged Female Humans Adult Machine Learning Male Clinical Decision-Making
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Comparison of six natural language processing approaches to assessing firearm access in Veterans Health Administration electronic health records.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2025
OBJECTIVE: Access to firearms is associated with increased suicide risk. Our aim was to develop a natural language processing approach to characterizing firearm access in clinical records.
Humans Machine Learning Electronic Health Records Female Natural Language Processing United States Department of Veterans Affairs Firearms Suicide Male Logistic Models Middle Aged United States
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Machine learning-based infection diagnostic and prognostic models in post-acute care settings: a systematic review.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2025
OBJECTIVES: This study aims to (1) review machine learning (ML)-based models for early infection diagnostic and prognosis prediction in post-acute care (PAC) settings, (2) identify key risk predictors influencing infection-related outcomes, and (3) e...
Electronic Health Records Subacute Care Humans Machine Learning Prognosis
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Mini-mental status examination phenotyping for Alzheimer's disease patients using both structured and narrative electronic health record features.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2025
OBJECTIVE: This study aims to automate the prediction of Mini-Mental State Examination (MMSE) scores, a widely adopted standard for cognitive assessment in patients with Alzheimer's disease, using natural language processing (NLP) and machine learnin...
Alzheimer Disease Mental Status and Dementia Tests Electronic Health Records Female Aged Aged, 80 and over Male Natural Language Processing Humans Machine Learning Phenotype
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Evaluating gradient-based explanation methods for neural network ECG analysis using heatmaps.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2025
OBJECTIVE: Evaluate popular explanation methods using heatmap visualizations to explain the predictions of deep neural networks for electrocardiogram (ECG) analysis and provide recommendations for selection of explanations methods.
Humans Neural Networks, Computer Deep Learning Electrocardiography Signal Processing, Computer-Assisted
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