AIMC Topic: Heart Diseases
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Eigenhearts: Cardiac diseases classification using eigenfaces approach.
Computers in biology and medicine
Jun 1, 2025
In the realm of cardiovascular medicine, medical imaging plays a crucial role in accurately classifying cardiac diseases and making precise diagnoses. However, the integration of data science techniques in this field presents significant challenges, ...
Optimizing stability of heart disease prediction across imbalanced learning with interpretable Grow Network.
Computer methods and programs in biomedicine
Jun 1, 2025
BACKGROUND AND OBJECTIVES: Heart disease prediction models often face stability challenges when applied to public datasets due to significant class imbalances, unlike the more balanced benchmark datasets. These imbalances can adversely affect various...
IoT driven smart health monitoring for heart disease prediction using quantum kernel enhanced sardine diffusion and CNN.
Scientific reports
May 19, 2025
Heart disease is one of the major causes of death worldwide, and the traditional diagnostic procedures typically cause delays in treatment, particularly in low-resource regions. In this article, we propose a novel IoT-based Quantum Kernel-Enhanced Sa...
Telecardiology unleashed: probing the depths of effectiveness in remote monitoring and telemedicine applications for acute cardiac conditions.
European heart journal. Acute cardiovascular care
May 16, 2025
Telecardiology has emerged as a promising approach in acute cardiac care through advancements in digital health technologies. This review explores the current evidence of telemedicine applications in acute coronary syndrome, arrhythmias, and acute he...
Exploring the Role of Digital Twins in Heart Care: Research Directions and Applications.
Studies in health technology and informatics
May 15, 2025
The concept of digital twins has emerged as a transformative innovation in healthcare. Digital twins are virtual replicas of physical entities that can be updated with real-time data allowing for simulation analysis and optimization. Their applicatio...
A validated multivariable machine learning model to predict cardio-kidney risk in diabetic kidney disease.
Cardiovascular diabetology
May 15, 2025
BACKGROUND: Individuals with diabetic kidney disease (DKD) often suffer cardiac and kidney events. We sought to develop an accurate means by which to stratify risk in DKD.
Diabetic Nephropathies
Predictive Value of Tests
Heart Diseases
Middle Aged
Risk Assessment
Time Factors
Heart Disease Risk Factors
Sodium-Glucose Transporter 2 Inhibitors
Female
Reproducibility of Results
Risk Factors
Aged
Male
Cardiovascular Diseases
Decision Support Techniques
Biomarkers
Prognosis
Humans
Machine Learning
[The development of model of prognostication and minimization of risk of by-effects under combined application of agents for treatment of chronic cardiac deficiency using AI].
Problemy sotsial'noi gigieny, zdravookhraneniia i istorii meditsiny
May 10, 2025
The chronic cardiac deficiency continues to be one of the leading health care problems requiring innovative solutions. The article presents mathematical algorithm to evaluate drug interactions and targeted to minimize side effects and to optimize chr...
Free-breathing, Highly Accelerated, Single-beat, Multisection Cardiac Cine MRI with Generative Artificial Intelligence.
Radiology. Cardiothoracic imaging
Apr 1, 2025
Purpose To develop and evaluate a free-breathing, highly accelerated, multisection, single-beat cine sequence for cardiac MRI. Materials and Methods This prospective study, conducted from July 2022 to December 2023, included participants with various...
Ensemble Deep Learning Algorithm for Structural Heart Disease Screening Using Electrocardiographic Images: PRESENT SHD.
Journal of the American College of Cardiology
Apr 1, 2025
BACKGROUND: Identifying structural heart diseases (SHDs) early can change the course of the disease, but their diagnosis requires cardiac imaging, which is limited in accessibility.
Advancements in Artificial Intelligence in Noninvasive Cardiac Imaging: A Comprehensive Review.
Clinical cardiology
Jan 1, 2025
BACKGROUND: Technological advancements in artificial intelligence (AI) are redefining cardiac imaging by providing advanced tools for analyzing complex health data. AI is increasingly applied across various imaging modalities, including echocardiogra...
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