AIMC Topic: Heart Murmurs
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Multiscale analysis of heart sound signals in the wavelet domain for heart murmur detection.
Scientific reports
Mar 25, 2025
A heart murmur is an atypical sound produced by blood flow through the heart. It can indicate a serious heart condition, so detecting heart murmurs is critical for identifying and managing cardiovascular diseases. However, current methods for identif...
A machine-learning algorithm to grade heart murmurs and stage preclinical myxomatous mitral valve disease in dogs.
Journal of veterinary internal medicine
Oct 21, 2024
BACKGROUND: The presence and intensity of heart murmurs are sensitive indicators of several cardiac diseases in dogs, particularly myxomatous mitral valve disease (MMVD), but accurate interpretation requires substantial clinical expertise.
Identifying pediatric heart murmurs and distinguishing innocent from pathologic using deep learning.
Artificial intelligence in medicine
Apr 4, 2024
OBJECTIVE: To develop a deep learning algorithm to perform multi-class classification of normal pediatric heart sounds, innocent murmurs, and pathologic murmurs.
Identification of Congenital Valvular Murmurs in Young Patients Using Deep Learning-Based Attention Transformers and Phonocardiograms.
IEEE journal of biomedical and health informatics
Apr 4, 2024
One in every four newborns suffers from congenital heart disease (CHD) that causes defects in the heart structure. The current gold-standard assessment technique, echocardiography, causes delays in the diagnosis owing to the need for experts who vary...
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...
StethAid: A Digital Auscultation Platform for Pediatrics.
Sensors (Basel, Switzerland)
Jun 20, 2023
(1) Background: Mastery of auscultation can be challenging for many healthcare providers. Artificial intelligence (AI)-powered digital support is emerging as an aid to assist with the interpretation of auscultated sounds. A few AI-augmented digital s...
Deep Learning Algorithm for Automated Cardiac Murmur Detection via a Digital Stethoscope Platform.
Journal of the American Heart Association
Apr 26, 2021
Background Clinicians vary markedly in their ability to detect murmurs during cardiac auscultation and identify the underlying pathological features. Deep learning approaches have shown promise in medicine by transforming collected data into clinical...
Automatic recognition of murmurs of ventricular septal defect using convolutional recurrent neural networks with temporal attentive pooling.
Scientific reports
Dec 11, 2020
Recognizing specific heart sound patterns is important for the diagnosis of structural heart diseases. However, the correct recognition of heart murmur depends largely on clinical experience. Accurately identifying abnormal heart sound patterns is ch...
Identification of Heart Sounds with an Interpretable Evolving Fuzzy Neural Network.
Sensors (Basel, Switzerland)
Nov 12, 2020
Heart problems are responsible for the majority of deaths worldwide. The use of intelligent techniques to assist in the identification of existing patterns in these diseases can facilitate treatments and decision making in the field of medicine. This...
A supervised machine learning-based methodology for analyzing dysregulation in splicing machinery: An application in cancer diagnosis.
Artificial intelligence in medicine
Aug 20, 2020
Deregulated splicing machinery components have shown to be associated with the development of several types of cancer and, therefore, the determination of such alterations can help the development of tumor-specific molecular targets for early prognos...
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