Background It is critical to have a deep learning-based system validated on an external
dataset before it is used to assist clinical prognoses. The aim of this study was to assess the …

Cardiomegaly is an asymptomatic disease. Symptoms, such as palpitations, chest tightness,
and shortness of breath, may be the early indications of cardiac hypertrophy, which can be …

Semantic segmentation for diagnosing chest-related diseases like cardiomegaly,
emphysema, pleural effusions, and pneumothorax is a critical yet understudied tool for …

Background Cardiothoracic ratio (CTR) is the ratio of the diameter of the heart to the
diameter of the thorax. An abnormal CTR (> 0.55) is often an indicator of an underlying …

Objectives Cardiovascular border (CB) analysis is the primary method for detecting and
quantifying the severity of cardiovascular disease using posterior-anterior chest radiographs …

Background Artificial intelligence, particularly the deep learning (DL) model, can provide
reliable results for automated cardiothoracic ratio (CTR) measurement on chest X-ray (CXR) …

Deep neural networks (DNN) have achieved unprecedented performance in computer-
vision tasks almost ubiquitously in business, technology, and science. While substantial …

Background The main treatment for a ruptured sinus of Valsalva aneurysm (SVA) is surgical
repair. Postoperative progression of aortic regurgitation (AR) following SVA repair increases …

Рекомендации ЕАК отражают точку зрения ЕАК и были подготовлены после
тщательного изучения научных и медицинских данных, имеющихся на момент их …

Radiography is one of the most clinically relevant imaging modalities and more specifically,
Chest X-Rays (CXR) are the most requested radiography exams in Europe. This exam has a …