Background Health information technology (HIT) systems have the potential to reduce
delayed, missed or incorrect diagnoses. We describe and classify the current state of …

Auscultation of heart sounds is a noninvasive and less costly way for congenital heart
disease (CHD) diagnosis, especially for pediatric individuals. The deep-learning-based …

Artificial intelligence (AI) has potential to improve the accuracy of screening for valvular and
congenital heart disease by auscultation. However, despite recent advances in signal …

Aims Computer-assisted auscultation has become available to assist clinicians with physical
examinations to detect congenital heart disease (CHD). However, its accuracy and …

An intelligent support system is needed to assist in the identification of abnormalities of a
human heart. The integration of signal processing with machine learning techniques is a …

Heart auscultation is a convenient tool for early diagnosis of heart diseases and is being
developed to be an intelligent tool used in online medicine. Currently, there are few studies …

Cardiac auscultation has been the central clinical tool for the diagnosis of valvular and other
structural heart diseases for over a century. Physicians acquire competence in this …

Objective Computer‐aided auscultation in the differentiation of pathologic (AHA class I) from
no or innocent murmurs (AHA class III) would be of great value to the general practitioner …

Background and objective: Valvular heart disease (VHD) is associated with elevated
mortality rates. Although transthoracic echocardiography (TTE) is the gold standard …

Background: Still's murmur is the most prevalent innocent heart murmur of childhood.
Auscultation is the primary clinical tool to identify this murmur as innocent. Whereas pediatric …