In 1971, the first patient CT examination by Ambrose and Hounsfield paved the way for not
only volumetric imaging of the brain but of the entire body. From the initial 5-minute scan for …

Discussion As depicted in the main table, the majority of FDA-approved AI products are
developed by companies headquartered in Europe and the North America. Another …

Following the traditional total variational denoising model in removing medical image noise
with blurred image texture details, among other problems, an adaptive medical image …

Abstract Background Deep learning (DL) CT denoising models have the potential to improve
image quality for lower radiation dose exams. These models are generally trained with large …

Non-contrast computed tomography (CT) is commonly used for the evaluation of various
pathologies including pulmonary infections or urolithiasis but, especially in low-dose …

In this retrospective study, we aimed to assess the objective and subjective image quality of
different reconstruction techniques and a deep learning-based software on non-contrast …

Aim We evaluated the quality of noncontrast chest computed tomography (CT) for pediatric
patients at two dose levels with and without denoising using a deep convolutional neural …

This study aimed to compare the image quality and diagnostic accuracy of deep-learning-
based image denoising reconstructions (DLIDs) to established iterative reconstructed …

With the ever‐increasing use of computed tomography (CT), concerns about its radiation
dose have become a significant public issue. To address the need for radiation dose …

• Bei Patientinnen und Patienten mit PPE/PE sowie Atemnot, Tachypnoe und großen
Ergüssen mit einer Ausdehnung von> 50% des Hemithorax bzw.≥ 2 cm Tiefenausdehnung …