Latest AI and machine learning research in radiology for healthcare professionals.
X-ray computed tomography (CT) is a non-destructive imaging technique in which contrast originates f...
Although ultrasound plays an important role in the diagnosis of chronic kidney disease (CKD), image ...
PURPOSE: The aim of this study was to examine the evaluation of ultra-high-resolution computed tomog...
Bone pelvic dimensions and body habitus may have effects on robot-assisted radical prostatectomy (RA...
OBJECTIVES: Coronary computed tomography angiography (CCTA) has rapidly developed in the coronary ar...
OBJECTIVES: This study aimed to develop and validate a combined nomogram model based on deep learnin...
OBJECTIVES: The aim of this study was to evaluate the image quality and diagnostic performance of a ...
Early and accurate diagnosis of Alzheimer's disease (AD) and its prodromal period mild cognitive imp...
OBJECTIVE: This feasibility study aimed to use optimized virtual contrast enhancement through genera...
Mapping the human connectome using fiber-tracking permits the study of brain connectivity and yields...
OBJECTIVE: To compare the safety and accuracy of cortical bone trajectory screw placement between th...
Traditional Chinese medicine (TCM) has sparked the public's attention for its potential in new drug ...
The current work aims to strengthen the research of segmentation, detection, and tracking methods of...
OBJECTIVE: We aimed to develop and test a deep learning algorithm (DLA) for fully automated measurem...
PURPOSE: Segmenting bone surfaces in ultrasound (US) is a fundamental step in US-based computer-assi...
OBJECTIVE: To evaluate whether artificial intelligence (AI) for detecting breast cancer on mammograp...
INTRODUCTION: Pelvic fracture is a severe high-energy injury with the highest disability and mortali...
OBJECTIVE: Localization of focal epilepsy is critical for surgical treatment of refractory seizures....
Machine learning and deep learning methods have become essential for computer-assisted prediction in...
(1) To investigate whether interventional cone-beam computed tomography (cbCT) could benefit from AI...
Manually segmenting multiple sclerosis (MS) cortical lesions (CLs) is extremely time consuming, and ...