Machine learning is a technique for recognizing patterns that can be applied to medical
images. Although it is a powerful tool that can help in rendering medical diagnoses, it can be …

In this paper, we give a short introduction to machine learning and survey its applications in
radiology. We focused on six categories of applications in radiology: medical image …

Pulmonary embolism (PE) can only be diagnosed with imaging techniques, which in
practice is performed using ventilation/perfusion scintigraphy (V/P SCAN) or multidetector …

Background—In patients with acute pulmonary embolism (PE), rapid and accurate risk
assessment is paramount in selecting the appropriate treatment strategy. Right ventricular …

As a promising method in artificial intelligence, deep learning has been proven successful in
several domains ranging from acoustics and images to natural language processing. With …

Background—We investigated the prognostic role of right ventricular enlargement on
multidetector-row chest CT in acute pulmonary embolism (PE). Methods and Results—We …

The aim of this study was to prospectively evaluate the accuracy of quantitative cardiac
computed tomography (CT) parameters and two cardiac biomarkers (N-terminal-pro-brain …

Purpose: To retrospectively evaluate pulmonary artery (PA) clot load scores and computed
tomographic (CT) cardiovascular parameters as predictors of mortality in patients with …

Objectives: The purpose of this study was to compare the prognostic role of various
computed tomography (CT) signs of right ventricular (RV) dysfunction, including 3 …

Computed tomographic (CT) pulmonary angiography has been established as a first-line
diagnostic technique in patients suspected of having pulmonary embolism. Risk stratification …