The automated classification of heart sounds plays a significant role in the diagnosis of
cardiovascular diseases (CVDs). With the recent introduction of medical big data and …

Cardiac auscultation is one of the most cost-effective techniques used to detect and identify
many heart conditions. Computer-assisted decision systems based on auscultation can …

Internet of Medical Things (IoMT) can connect many medical imaging equipment to the
medical information network to facilitate the process of diagnosing and treating doctors. As …

Despite barriers to acceptance in clinical practice, AI is already establishing a durable role in
pediatric cardiology. Its potential remains great, but to fully realize its benefits, substantial …

In view of the important role of heart sound signals in diagnosing and preventing congenital
heart disease, a novel method about feature extraction and classification of heart sound …

Medical practitioners generally rely on multimodal brain images, for example based on the
information from the axial, coronal, and sagittal views, to inform brain tumor diagnosis …

Physiological conditions that prevent heart valves from functioning precisely to ensure
proper blood circulation are known as heart valve disorder (HVD). Detection of HVD is …

Congenital heart diseases (CHD) are the most common birth defects, and the early
diagnosis of CHD is crucial for CHD therapy. However, there are relatively few studies on …

Automatic classification of heart sound plays an important role in the diagnosis of
cardiovascular diseases. In this study, a heart sound sample classification method based on …

Recent advances in artificial intelligence (AI), especially convolutional neural networks
(CNNs), alongside the digitization of histopathological images, have made the computer …