AIMC Journal:
Journal of the American Medical Informatics Association : JAMIA

Showing 191 to 200 of 493 articles

AutoCriteria: a generalizable clinical trial eligibility criteria extraction system powered by large language models.

Journal of the American Medical Informatics Association : JAMIA Jan 18, 2024
OBJECTIVES: We aim to build a generalizable information extraction system leveraging large language models to extract granular eligibility criteria information for diverse diseases from free text clinical trial protocol documents. We investigate the ...
Information Storage and Retrieval Eligibility Determination Breast Neoplasms Natural Language Processing Humans Language Female
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Using machine learning to develop smart reflex testing protocols.

Journal of the American Medical Informatics Association : JAMIA Jan 18, 2024
OBJECTIVE: Reflex testing protocols allow clinical laboratories to perform second line diagnostic tests on existing specimens based on the results of initially ordered tests. Reflex testing can support optimal clinical laboratory test ordering and di...
Ferritins Reflex Humans Machine Learning
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Pivotal trial of a deep-learning-based retinal biomarker (Reti-CVD) in the prediction of cardiovascular disease: data from CMERC-HI.

Journal of the American Medical Informatics Association : JAMIA Dec 22, 2023
OBJECTIVE: The potential of using retinal images as a biomarker of cardiovascular disease (CVD) risk has gained significant attention, but regulatory approval of such artificial intelligence (AI) algorithms is lacking. In this regulated pivotal trial...
Carotid Intima-Media Thickness Coronary Artery Disease Ankle Brachial Index Deep Learning Pulse Wave Analysis Biomarkers Retrospective Studies Humans Risk Factors Artificial Intelligence Cardiovascular Diseases
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Design of an interface to communicate artificial intelligence-based prognosis for patients with advanced solid tumors: a user-centered approach.

Journal of the American Medical Informatics Association : JAMIA Dec 22, 2023
OBJECTIVES: To design an interface to support communication of machine learning (ML)-based prognosis for patients with advanced solid tumors, incorporating oncologists' needs and feedback throughout design.
Heuristics Adult Neoplasms Humans Artificial Intelligence Prognosis
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Selective prediction for extracting unstructured clinical data.

Journal of the American Medical Informatics Association : JAMIA Dec 22, 2023
OBJECTIVE: While there are currently approaches to handle unstructured clinical data, such as manual abstraction and structured proxy variables, these methods may be time-consuming, not scalable, and imprecise. This article aims to determine whether ...
Humans Support Vector Machine Logistic Models Adenocarcinoma
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Early experiences of integrating an artificial intelligence-based diagnostic decision support system into radiology settings: a qualitative study.

Journal of the American Medical Informatics Association : JAMIA Dec 22, 2023
OBJECTIVES: Artificial intelligence (AI)-based clinical decision support systems to aid diagnosis are increasingly being developed and implemented but with limited understanding of how such systems integrate with existing clinical work and organizati...
Humans Radiology Tomography, X-Ray Computed Radiography Artificial Intelligence Software
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Image-encoded biological and non-biological variables may be used as shortcuts in deep learning models trained on multisite neuroimaging data.

Journal of the American Medical Informatics Association : JAMIA Nov 17, 2023
OBJECTIVE: This work investigates if deep learning (DL) models can classify originating site locations directly from magnetic resonance imaging (MRI) scans with and without correction for intensity differences.
Magnetic Resonance Imaging Reproducibility of Results Neuroimaging Humans Deep Learning Brain
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Prediction models using artificial intelligence and longitudinal data from electronic health records: a systematic methodological review.

Journal of the American Medical Informatics Association : JAMIA Nov 17, 2023
OBJECTIVE: To describe and appraise the use of artificial intelligence (AI) techniques that can cope with longitudinal data from electronic health records (EHRs) to predict health-related outcomes.
Electronic Health Records Humans Artificial Intelligence
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Deep learning algorithms to detect diabetic kidney disease from retinal photographs in multiethnic populations with diabetes.

Journal of the American Medical Informatics Association : JAMIA Nov 17, 2023
OBJECTIVE: To develop a deep learning algorithm (DLA) to detect diabetic kideny disease (DKD) from retinal photographs of patients with diabetes, and evaluate performance in multiethnic populations.
Longitudinal Studies Diabetic Retinopathy Australia Algorithms Diabetes Mellitus, Type 2 Humans Cross-Sectional Studies Diabetic Nephropathies Deep Learning
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Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks.

Journal of the American Medical Informatics Association : JAMIA Nov 17, 2023
OBJECTIVE: Development of electronic health records (EHR)-based machine learning models for pediatric inpatients is challenged by limited training data. Self-supervised learning using adult data may be a promising approach to creating robust pediatri...
Retrospective Studies Inpatients Humans Adult Electronic Health Records Supervised Machine Learning Machine Learning Child
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