… detection system using machine learning algorithms. We show how machine learning
can help predict whether a person will develop heart disease. In this paper, a python-based …

… other clinical data for precision medical management of patients with valvular heart disease.
… Pathway of a patient with valvular heart disease and areas of care where AI can improve …

… , and ultimately incorporation of artificial intelligence is changing the landscape of physician
training and delivery of patient-centric care. Transcatheter structural heart interventions are …

… artificial intelligence. As shown in Table 2, each row of the matrix represents the instances
in a predicted class, while each column represents the instances in an actual class. The major …

… artificial intelligence and other advanced analytical tools to transform health care delivery. The
American Heart … Nevertheless, several challenges exist, and few artificial intelligence tools …

… from 1991 to 2018 related to artificial intelligence in stroke and heart diseases on the Web of
… selected all documents of the retrieved data on AIs that related to stroke and heart diseases. …

… Artificial Neural Networks (ANN) algorithms to diagnose heart disease from … Ninety-four
PCG signals for three heart diseases were used in this study to test the accuracy …

Ischaemic heart disease is one of the world’s most important causes of mortality, so improvements
and rationalization of diagnostic procedures would be very useful. The four diagnostic …

… The number of inherited heart disease (IHD) studies using artificial intelligence (AI) has
increased rapidly over the last years. In this scoping review, we aimed to present an overview of …

… examinations to detect congenital heart disease (CHD). … of abnormal heart sounds of an
artificial intelligence-assisted … auscultation and for artificial intelligence automatic auscultation …