Latest AI and machine learning research in radiology for healthcare professionals.
PURPOSE: To predict the genetic subtypes of adult-type diffuse gliomas with three-class MRI radiomic...
OBJECTIVES: To evaluate a deep learning (DL) model for reducing the agent dose of contrast-enhanced ...
BACKGROUND: Cystic fibrosis (CF) monitoring relies on computed tomography (CT), but ultra-short echo...
OBJECTIVES: To develop and externally validate a computed tomography (CT)-based multitask learning m...
OBJECTIVES: To develop and evaluate automated segmentation models for the liver and hepatic tumors o...
Spinocerebellar ataxia 12 (SCA12) is a progressive degenerative neurological disorder, primarily cha...
OBJECTIVE: To develop a deep learning model for differential diagnosis of acute scrotum using single...
BACKGROUND AND OBJECTIVE: Accurate preoperative prediction of microvascular invasion (MVI) and survi...
BACKGROUND AND OBJECTIVE: CT-based attenuation correction (CT-AC) is commonly used in cardiac PET bu...
This article presents a curated dataset of transperineal pelvic floor ultrasound videos collected fr...
AIM: Low back pain (LBP) affects a significant proportion of the population. There has been an incre...
BACKGROUND: Accurate plane positioning is important for high-quality cardiac MRI images but requires...
Transthyretin amyloid cardiomyopathy (ATTR-CM) and aortic stenosis (AS) frequently coexist in elderl...
PURPOSE: The purpose of this study was to compare the spectral performance of three dual-energy CT (...
Abdominal aortic aneurysms (AAAs) are progressive focal dilatations of the abdominal aorta. AAAs may...
Early detection of Alzheimer's disease (AD) is essential for effective clinical intervention and dis...
Breast cancer remains a leading threat to women's health worldwide and reducing mortality hinges on ...
This study presents a comprehensive and comparative analysis of the emergence of micro- and nanoplas...
PURPOSE: The use of neuronavigation with superimposed mapping tools has enabled visualization of key...
PURPOSE: As survival improves for patients with brain metastases (BM), distinguishing local recurren...
UNLABELLED: Automated multi-organ segmentation looks to assist clinicians and researchers working wi...