Our aim was to investigate the ability of an artificial intelligence (AI)-based algorithm to
differentiate innocent murmurs from pathologic ones. An AI-based algorithm was developed …

Digital stethoscopes can enable the development of integrated artificial intelligence (AI)
systems that can remove the subjectivity of manual auscultation, improve diagnostic …

Objective To develop a deep learning algorithm to perform multi-class classification of
normal pediatric heart sounds, innocent murmurs, and pathologic murmurs. Methods We …

BACKGROUND: Cardiac diseases are highly detrimental illnesses, responsible for
approximately 32% of global mortality [1]. Early diagnosis and prompt treatment can reduce …

(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 …

Heart sound segmentation has been shown to improve the performance of artificial
intelligence (AI)-based auscultation decision support systems increasingly viewed as a …

Congenital heart disease (CHD) is a serious health concern that affects a sizeable
proportion of newborns worldwide. Detecting CHD during the initial auscultation can …

The healthcare industry has made significant progress in the diagnosis of heart conditions
due to the use of intelligent detection systems such as electrocardiograms, cardiac …

El control y desarrollo infantil asistido por sistemas expertos es esencial para la detección,
diagnóstico y prevención en la salud de los niños, contribuyen significativamente a la …

Auscultation is a critical component of a cardiopulmonary examination; however, several
studies have shown that many physicians lack proficiency in it. With the development of …