AIMC Topic: Heart Diseases

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Transforming heart health: The emerging role of AI.

Asian journal of surgery Jan 23, 2024
Artificial Intelligence Heart Diseases Humans
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An energy-aware heart disease prediction system using ESMO and optimal deep learning model for healthcare monitoring in IoT.

Journal of biomolecular structure & dynamics Jan 2, 2024
The Internet of Things (IoT), which provides seamless connectivity between people and things, improves our quality of life. In the medical field, predictive analytics can help transform a reactive healthcare (HC) strategy into a proactive one. The HC...
Humans Neural Networks, Computer Deep Learning Algorithms Heart Diseases Delivery of Health Care Internet of Things
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Discovering effect of intuitionistic fuzzy transformation in multi-layer perceptron for heart disease prediction: a study.

Computer methods in biomechanics and biomedical engineering Nov 27, 2023
Cardiovascular disease (CVD) is the one of the most fatal diseases in the world we have seen in last two decades. For heart disease detection, imprecision in clinical parameters may occur due to error in taking readings or in measuring devices or env...
Humans Heart Diseases Intuition Multilayer Perceptrons Deep Learning Fuzzy Logic Neural Networks, Computer Algorithms
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Deep Learning Algorithms to Detect Murmurs Associated With Structural Heart Disease.

Journal of the American Heart Association Oct 13, 2023
Background The success of cardiac auscultation varies widely among medical professionals, which can lead to missed treatments for structural heart disease. Applying machine learning to cardiac auscultation could address this problem, but despite rece...
Deep Learning Heart Diseases Heart Auscultation Heart Murmurs Algorithms Adult Humans
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Design and Validation of a Soft Robotic Simulator for Transseptal Puncture Training.

IEEE transactions on bio-medical engineering Sep 27, 2023
OBJECTIVE: Transseptal puncture (TP) is the technique used to access the left atrium of the heart from the right atrium during cardiac catheterization procedures. Through repetition, electrophysiologists and interventional cardiologists experienced i...
Heart Atria Punctures Humans Robotics Cardiac Catheterization Heart Diseases Catheter Ablation
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Classification of electrocardiogram signals using deep learning based on genetic algorithm feature extraction.

Biomedical physics & engineering express Jul 31, 2023
Arrhythmias using electrocardiogram (ECG) signal is important in medical and computer research due to the timely diagnosis of dangerous cardiac conditions. The current study used the ECG to classify cardiac signals into normal heartbeats, congestive ...
Heart Diseases Neural Networks, Computer Algorithms Humans Electrocardiography Deep Learning Atrial Fibrillation
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Deep Learning for Discrimination of Hypertrophic Cardiomyopathy and Hypertensive Heart Disease on MRI Native T1 Maps.

Journal of magnetic resonance imaging : JMRI Jul 11, 2023
BACKGROUND: Native T1 and radiomics were used for hypertrophic cardiomyopathy (HCM) and hypertensive heart disease (HHD) differentiation previously. The current problem is that global native T1 remains modest discrimination performance and radiomics ...
Male Middle Aged Deep Learning Hypertension Humans Retrospective Studies Cardiomyopathy, Hypertrophic Magnetic Resonance Imaging Heart Diseases
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Artificial Intelligence and Big Data Technologies in the Construction of Surgical Risk Prediction Model for Patients with Coronary Artery Bypass Grafting.

Computational intelligence and neuroscience Jul 7, 2023
The objective of this work was to predict the risk of mortality rate in patients with coronary artery bypass grafting (CABG) based on the risk prediction model of CABG using artificial intelligence (AI) and big data technologies. The clinical data of...
Coronary Artery Bypass ROC Curve Risk Assessment Humans Heart Diseases Big Data Artificial Intelligence
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Revolution of echocardiographic reporting: the new era of artificial intelligence and natural language processing.

Journal of echocardiography Jun 13, 2023
Artificial intelligence (AI) has been making a significant impact on cardiovascular imaging, transforming everything from data capture to report generation. In the field of echocardiography, AI offers the potential to enhance accuracy, speed up repor...
Echocardiography Natural Language Processing Humans Artificial Intelligence Heart Diseases Tomography, X-Ray Computed
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Optimized feature fusion-based modified cascaded kernel extreme learning machine for heart disease prediction in E-healthcare.

Computer methods in biomechanics and biomedical engineering Jun 5, 2023
In recent years, medical technological innovators have focused on diverse clinical therapies to find innovative ways to overcome clinical challenges. But still, there emerge certain drawbacks like high computational cost, increased error, less traini...
Delivery of Health Care Heart Diseases Machine Learning Humans Algorithms
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