Objectives This paper will outline the status and basic principles of artificial intelligence (AI)
in radiography along with some thoughts and suggestions on what the future might hold …

Background Despite the prevalence of chest CT in the clinic, concerns about unoptimized
protocols delivering high radiation doses to patients still remain. This study aimed to assess …

In the era of AI-enabled medical imaging, AI applications extend well beyond voxel-based
algorithms, auto-segmentation of lesions of interest, or analysis of images and reports. 1 …

Rationale and Objectives To develop an automatic setting of a deep learning-based system
for detecting low-dose computed tomography (CT) lung cancer screening scan range and …

In this retrospective study, we aimed to predict the body height and weight of pediatric
patients using CT localizers, which are overview scans performed before the acquisition of …

Background: This study investigates whether the scan length adjustment of prospectively
ECG-triggered coronary CT angiography (CCTA) using calcium-scoring CT (CAS-CT) …

Pros and Cons of Applying Deep Learning Automatic Scan-Range Adjustment to Low-Dose
Chest CT in Lung Cancer Screening Programs Pros and Cons of Applying Deep Learning …

Multiphase CT scanning of the liver is performed for several clinical applications; however,
radiation exposure from CT scanning poses a nontrivial cancer risk to the patients. The …

Tuberculosis and diabetes mellitus are highly prevalent clinical conditions worldwide, and
the mortality rate of tuberculosis is high; when diabetes mellitus is combined with …

We propose a deep learning-assisted overscan decision algorithm in chest low-dose
computed tomography (LDCT) applicable to the lung cancer screening. The algorithm …