AIMC Topic: Heart Diseases

Clear Filters Showing 31 to 40 of 198 articles

Artificial Intelligence Interpretation of the Electrocardiogram: A State-of-the-Art Review.

Current cardiology reports May 16, 2024
PURPOSE OF REVIEW: Artificial intelligence (AI) is transforming electrocardiography (ECG) interpretation. AI diagnostics can reach beyond human capabilities, facilitate automated access to nuanced ECG interpretation, and expand the scope of cardiovas...
Artificial Intelligence Electrocardiography Heart Diseases Humans
View on PubMed DOI

A big data scheme for heart disease classification in map reduce using jellyfish search flow regime optimization enabled Spinalnet.

Pacing and clinical electrophysiology : PACE May 15, 2024
BACKGROUND: The disease related to the heart is serious and can lead to death. Precise heart disease prediction is imperative for the effective treatment of cardiac patients. This can be attained by machine learning (ML) techniques using healthcare d...
Electrocardiography Heart Diseases Algorithms Humans Big Data Machine Learning
View on PubMed DOI

Precision healthcare: A deep dive into machine learning algorithms and feature selection strategies for accurate heart disease prediction.

Computers in biology and medicine May 10, 2024
This paper presents a comprehensive exploration of machine learning algorithms (MLAs) and feature selection techniques for accurate heart disease prediction (HDP) in modern healthcare. By focusing on diverse datasets encompassing various challenges, ...
Heart Diseases Precision Medicine Support Vector Machine Machine Learning Algorithms Humans
View on PubMed DOI

Heart patient health monitoring system using invasive and non-invasive measurement.

Scientific reports Apr 26, 2024
The abnormal heart conduction, known as arrhythmia, can contribute to cardiac diseases that carry the risk of fatal consequences. Healthcare professionals typically use electrocardiogram (ECG) signals and certain preliminary tests to identify abnorma...
Algorithms Humans Arrhythmias, Cardiac Monitoring, Physiologic Machine Learning Heart Diseases Electrocardiography
View on PubMed DOI

Hybrid optimized temporal convolutional networks with long short-term memory for heart disease prediction with deep features.

Computer methods in biomechanics and biomedical engineering Apr 8, 2024
A heart attack is intended as top prevalent among all ruinous ailments. Day by day, the number of affected people count is increasing globally. The medical field is struggling to detect heart disease in the initial step. Early prediction can help pat...
Humans Deep Learning Memory, Short-Term Heart Diseases Neural Networks, Computer Algorithms
View on PubMed DOI

Deep learning supported echocardiogram analysis: A comprehensive review.

Artificial intelligence in medicine Apr 4, 2024
An echocardiogram is a sophisticated ultrasound imaging technique employed to diagnose heart conditions. The transthoracic echocardiogram, one of the most prevalent types, is instrumental in evaluating significant cardiac diseases. However, interpret...
Heart Diseases Image Interpretation, Computer-Assisted Echocardiography Deep Learning Humans Artificial Intelligence
View on PubMed DOI

AttGRU-HMSI: enhancing heart disease diagnosis using hybrid deep learning approach.

Scientific reports Apr 3, 2024
Heart disease is a major global cause of mortality and a major public health problem for a large number of individuals. A major issue raised by regular clinical data analysis is the recognition of cardiovascular illnesses, including heart attacks and...
Intelligence Coronary Artery Disease Deep Learning Bayes Theorem Heart Diseases Humans Algorithms
View on PubMed DOI

Quality assurance of late gadolinium enhancement cardiac magnetic resonance images: a deep learning classifier for confidence in the presence or absence of abnormality with potential to prompt real-time image optimization.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Mar 24, 2024
BACKGROUND: Late gadolinium enhancement (LGE) of the myocardium has significant diagnostic and prognostic implications, with even small areas of enhancement being important. Distinguishing between definitely normal and definitely abnormal LGE images ...
Predictive Value of Tests Humans Myocardium Reproducibility of Results Image Interpretation, Computer-Assisted Contrast Media Aged Middle Aged Magnetic Resonance Imaging Quality Assurance, Health Care Heart Diseases Observer Variation Male Deep Learning Databases, Factual Magnetic Resonance Imaging, Cine Female
View on PubMed DOI

A comprehensive review on heart disease prognostication using different artificial intelligence algorithms.

Computer methods in biomechanics and biomedical engineering Feb 29, 2024
Prediction of heart diseases on time is significant in order to preserve life. Many conventional methods have taken efforts on earlier prediction but faced with challenges of higher prediction cost, extended time for computation and complexities with...
Heart Diseases Algorithms Prognosis Humans Artificial Intelligence Machine Learning
View on PubMed DOI

The Role of Artificial Intelligence in Cardiac Imaging.

Radiologic clinics of North America Feb 7, 2024
Artificial intelligence (AI) is having a significant impact in medical imaging, advancing almost every aspect of the field, from image acquisition and postprocessing to automated image analysis with outreach toward supporting decision making. Noninva...
Heart Diseases Humans Image Processing, Computer-Assisted Artificial Intelligence Magnetic Resonance Imaging
View on PubMed DOI
Popular Topics
Recent Journals