AIMC Topic: Registries

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Prevalence, incidence, and mortality of inflammatory bowel disease in the Netherlands: development and external validation of machine learning models.

Journal of Crohn's & colitis Feb 4, 2025
BACKGROUND AND AIMS: Large registries are promising tools to study the epidemiology of inflammatory bowel disease (IBD). We aimed to develop and validate machine learning models to identify IBD cases in administrative data, aiming to determine the pr...
Machine Learning Inflammatory Bowel Diseases Female Aged Humans Middle Aged Prevalence Adolescent Incidence Young Adult Adult Male Registries Netherlands
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Scale to predict risk for refractory septic shock based on a hybrid approach using machine learning and regression modeling.

Emergencias : revista de la Sociedad Espanola de Medicina de Emergencias Feb 1, 2025
OBJECTIVE: To develop a scale to predict refractory septic shock (SS) based on clinical variables recorded during initial evaluations of patients.
Emergency Service, Hospital Registries Norepinephrine Aged Male Middle Aged Machine Learning Shock, Septic Risk Assessment Retrospective Studies ROC Curve Regression Analysis Humans Intensive Care Units Female
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Developing a nationwide registry of UK veterans seeking help from sector charities-a machine learning approach to stratification.

European journal of public health Feb 1, 2025
The assistance to veterans in the UK is provided by the National Health Service and over 1800 military charities. These charities count services using different definitions and reporting systems, so to date a national registry of service usage does n...
Humans Machine Learning Female Aged Registries United Kingdom Veterans Charities Adult Male Middle Aged
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Diagnostic Performance of AI-enabled Plaque Quantification from Coronary CT Angiography Compared with Intravascular Ultrasound.

Radiology. Cardiothoracic imaging Dec 1, 2024
Purpose To assess the diagnostic performance of a coronary CT angiography (CCTA) artificial intelligence (AI)-enabled tool (AI-QCPA; HeartFlow) to quantify plaque volume, as compared with intravascular US (IVUS). Materials and Methods A retrospective...
Plaque, Atherosclerotic Computed Tomography Angiography Male Middle Aged Coronary Angiography Coronary Artery Disease Coronary Vessels Ultrasonography, Interventional Registries Prospective Studies Retrospective Studies Female Aged Humans Artificial Intelligence
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A Federated Registration System for Artificial Intelligence in Health.

JAMA Sep 10, 2024
Risk Evaluation and Mitigation Humans Artificial Intelligence Digital Health Practice Guidelines as Topic United States Registries Federal Government
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Comparison of Ensemble Learning Methods for Classification in Cancer Registries.

Studies in health technology and informatics Aug 22, 2024
Significant developments are currently underway in the field of cancer research, particularly in Germany, regarding cancer registration and the use of medical information systems. The use of such systems contributes significantly to quality assurance...
Registries Germany Algorithms Neoplasms User-Computer Interface Humans Artificial Intelligence Machine Learning
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Improving the Quality of Unstructured Cancer Data Using Large Language Models: A German Oncological Case Study.

Studies in health technology and informatics Aug 22, 2024
With cancer being a leading cause of death globally, epidemiological and clinical cancer registration is paramount for enhancing oncological care and facilitating scientific research. However, the heterogeneous landscape of medical data presents sign...
Electronic Health Records Neoplasms Natural Language Processing Medical Oncology Germany Registries Data Accuracy Humans Artificial Intelligence
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Machine learning and deep learning tools for the automated capture of cancer surveillance data.

Journal of the National Cancer Institute. Monographs Aug 1, 2024
The National Cancer Institute and the Department of Energy strategic partnership applies advanced computing and predictive machine learning and deep learning models to automate the capture of information from unstructured clinical text for inclusion ...
Deep Learning United States Humans Registries Machine Learning National Cancer Institute (U.S.) Neoplasms
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Automated vessel-specific coronary artery calcification quantification with deep learning in a large multi-centre registry.

European heart journal. Cardiovascular Imaging Jun 28, 2024
AIMS: Vessel-specific coronary artery calcification (CAC) is additive to global CAC for prognostic assessment. We assessed accuracy and prognostic implications of vessel-specific automated deep learning (DL) CAC analysis on electrocardiogram (ECG) ga...
Middle Aged Humans Risk Assessment Prognosis Deep Learning Coronary Angiography Computed Tomography Angiography Female Registries Aged Male Coronary Artery Disease Vascular Calcification
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Acute myocardial infarction prognosis prediction with reliable and interpretable artificial intelligence system.

Journal of the American Medical Informatics Association : JAMIA Jun 20, 2024
OBJECTIVE: Predicting mortality after acute myocardial infarction (AMI) is crucial for timely prescription and treatment of AMI patients, but there are no appropriate AI systems for clinicians. Our primary goal is to develop a reliable and interpreta...
Aged Republic of Korea Male Humans Registries Female Middle Aged Artificial Intelligence Myocardial Infarction Reproducibility of Results Prognosis
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