AIMC Topic: Cardiovascular Diseases
Clear Filters Showing 551 to 560 of 664 articles
Deep Learning-Based Assessment of Built Environment From Satellite Images and Cardiometabolic Disease Prevalence.
JAMA cardiology
Jun 1, 2024
IMPORTANCE: Built environment plays an important role in development of cardiovascular disease. Large scale, pragmatic evaluation of built environment has been limited owing to scarce data and inconsistent data quality.
Time Series Forecasting of Cardiovascular Mortality: Machine Learning Based on State Economic and Local Medical Data.
Studies in health technology and informatics
May 23, 2024
This study focuses on the complex interplay of healthcare, economic factors, and population dynamics, addressing a research gap in regional-level models that integrate diverse features within a temporal framework. Our primary objective is to develop ...
Artificial intelligence-enhanced exposomics: novel insights into cardiovascular health.
European heart journal
May 7, 2024
Mammography-based deep learning model for coronary artery calcification.
European heart journal. Cardiovascular Imaging
Mar 27, 2024
AIMS: Mammography, commonly used for breast cancer screening in women, can also predict cardiovascular disease. We developed mammography-based deep learning models for predicting coronary artery calcium (CAC) scores, an established predictor of coron...
An automated ECG-based deep learning for the early-stage identification and classification of cardiovascular disease.
Technology and health care : official journal of the European Society for Engineering and Medicine
Jan 1, 2024
BACKGROUND: Heart disease represents the leading cause of death globally. Timely diagnosis and treatment can prevent cardiovascular issues. An Electrocardiograms (ECG) serves as a diagnostic tool for identifying heart difficulties. Cardiovascular Dis...
Machine learning-driven predictions and interventions for cardiovascular occlusions.
Technology and health care : official journal of the European Society for Engineering and Medicine
Jan 1, 2024
BACKGROUND: Cardiovascular diseases remain a leading cause of global morbidity and mortality, with heart attacks and strokes representing significant health challenges. The accurate, early diagnosis and management of these conditions are paramount in...
Optimizing cardiovascular image segmentation through integrated hierarchical features and attention mechanisms.
Technology and health care : official journal of the European Society for Engineering and Medicine
Jan 1, 2024
BACKGROUND: Cardiovascular diseases are the top cause of death in China. Manual segmentation of cardiovascular images, prone to errors, demands an automated, rapid, and precise solution for clinical diagnosis.
Comparative analysis of supervised learning algorithms for prediction of cardiovascular diseases.
Technology and health care : official journal of the European Society for Engineering and Medicine
Jan 1, 2024
BACKGROUND: With the advent of artificial intelligence technology, machine learning algorithms have been widely used in the area of disease prediction.
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...
Highlights from the 2023 SVM Vascular Scientific Sessions.
Vascular medicine (London, England)
Dec 1, 2023
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