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Heart Valve Diseases

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Therapeutic approach comparison in bicuspid aortic valve aortopathy and clinical practice implications.

Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologie
Bicuspid aortic valve (BAV) is the most common heart valve malformation, and it may be associated with the development of long-term complications, such as aortic stenosis (AS) secondary to valvular calcification and aortic insufficiency (AI), with or...

The role of robotic technology in minimally invasive surgery for mitral valve disease.

Expert review of medical devices
INTRODUCTION: Robotic mitral valve surgery has developed for more than 20 years. The main purpose of robotic assistance is to use multiwristed instruments for surgical endothoracic maneuvers on the mitral valve without opening the chest. The surgeon ...

A deep learning-based automatic analysis of cardiovascular borders on chest radiographs of valvular heart disease: development/external validation.

European radiology
OBJECTIVES: Cardiovascular border (CB) analysis is the primary method for detecting and quantifying the severity of cardiovascular disease using posterior-anterior chest radiographs (CXRs). This study aimed to develop and validate a deep learning-bas...

[Active Utilization of Robot-assisted Cardiac Surgery in Educational Institution].

Kyobu geka. The Japanese journal of thoracic surgery
Minimally invasive cardiac surgery( MICS) has emerged in 1990s. Nowadays, MICS via mini thoracotomy became popular for valvular heart disease. Robot-assisted cardiac surgery was introduced with extension to MICS. Robot-assisted cardiac surgery for va...

[Differences between Minimary Invasive Cardiac Surgery and Robot-assisted Cardiac Surgery in Mitral Valve Repair].

Kyobu geka. The Japanese journal of thoracic surgery
It has been more than 10 years since the introduction of small-incision surgery for cardiac valvular disease. The so-called minimally invasive cardiac surgery (MICS) techniques avoid the need for sternotomy, but they are still not considered standard...

A lightweight hybrid deep learning system for cardiac valvular disease classification.

Scientific reports
Cardiovascular diseases (CVDs) are a prominent cause of death globally. The introduction of medical big data and Artificial Intelligence (AI) technology encouraged the effort to develop and deploy deep learning models for distinguishing heart sound a...

Deep Learning Electrocardiographic Analysis for Detection of Left-Sided Valvular Heart Disease.

Journal of the American College of Cardiology
BACKGROUND: Valvular heart disease is an important contributor to cardiovascular morbidity and mortality and remains underdiagnosed. Deep learning analysis of electrocardiography (ECG) may be useful in detecting aortic stenosis (AS), aortic regurgita...

The Emerging Role of Artificial Intelligence in Valvular Heart Disease.

Heart failure clinics
Valvular heart disease (VHD) is a morbid condition in which timely identification and evidence-based treatments can lead to improved outcomes. Artificial intelligence broadly refers to the ability for computers to perform tasks and problem solve like...

An edge-device-compatible algorithm for valvular heart diseases screening using phonocardiogram signals with a lightweight convolutional neural network and self-supervised learning.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVES: Detection and classification of heart murmur using mobile-phone-collected sound is an emerging approach to the scale-up screening of valvular heart disease at a population level. Nonetheless, the widespread adoption of arti...