The advent of computed tomography (CT) has revolutionized radiology, and this revolution
is still going on. Starting as a pure head scanner, modern CT systems are now able to …

Background Ultra–low-dose (ULD) CT could facilitate the clinical implementation of large-
scale lung cancer screening while minimizing the radiation dose. However, traditional image …

Purpose Studies have evaluated imaging modalities with a lower radiation dose than
standard-dose CT (SD-CT) for chest examination. This systematic review aimed to …

Purpose: The purpose of this study was to assess the clinical value of ultra–low-dose
computed tomography (ULDCT) compared with chest x-ray radiography (CXR) for …

Objectives We evaluated whether machine learning may be helpful for the detection of lung
cancer in FDG-PET imaging in the setting of ultralow dose PET scans. Materials and …

Objective The aim of this study was to evaluate the image quality (IQ) and performance of an
artificial intelligence (AI)-based computer-aided detection (CAD) system in photon-counting …

Objective To compare the image quality between the vendor-agnostic and vendor-specific
algorithms on ultralow-dose chest CT. Methods Vendor-agnostic deep learning post …

Smoking is the main risk factor for lung cancer (LC), which is the leading cause of cancer-
related death worldwide. Independent randomized controlled trials, governmental and inter …

OBJECTIVE. The objective of our study was to assess the effect of the combination of deep
learning–based denoising (DLD) and iterative reconstruction (IR) on image quality and Lung …

Objectives With the aging population and thus rising numbers of orthopedic implants (OIs),
metal artifacts (MAs) increasingly pose a problem for computed tomography (CT) …