Latest AI and machine learning research in radiology for healthcare professionals.
Brain tumours (BT) affect human health owing to their location. Artificial intelligence (AI) is inte...
BACKGROUND: This study aims to develop habitat radiomic models to predict overall survival (OS) for ...
Alzheimer's disease is the most common cause of dementia in the elderly population (aged 65 years an...
The prevalence of fatty liver disease is on the rise, posing a significant global health concern. If...
Early detection and precise characterization of brain tumors play a crucial role in improving patien...
Freehand 3-D ultrasound imaging is emerging as a promising modality for regular spine exams due to i...
Autonomous ultrasound image quality assessment (US-IQA) is a promising tool to aid the interpretatio...
Abdominal aortic aneurysms (AAAs) are rupture-prone dilatations of the aorta. In current clinical pr...
The reliability of automated image interpretation of point-of-care (POC) echocardiography scans depe...
Ultrasound computed tomography (USCT) quantifies acoustic tissue properties such as the speed-of-sou...
Ultrasound (US) has the unique potential to offer access to medical imaging to anyone, everywhere. D...
In medical image analysis, the utilization of biophysical models for signal analysis offers valuable...
The application of deep learning techniques to analyze brain functional magnetic resonance imaging (...
BACKGROUND: Bi-parametric magnetic resonance imaging (bpMRI) has demonstrated promising results in p...
Early diagnosis and treatment of breast cancer can effectively reduce mortality. Since mammogram is ...
PURPOSE: There are many radiological datasets for breast cancer, some which have supported the devel...
The Developing Human Connectome Project (dHCP) aims to explore developmental patterns of the human b...
Translational magnetic resonance imaging of the rodent brain provides invaluable information for pre...
BACKGROUND: A deep learning (DL) model that can automatically detect and classify cervical canal and...
INTRODUCTION: Major depressive disorder (MDD) is a common, relapse-prone psychiatric disorder with u...
OBJECTIVE: This study aimed to investigate the value of radiomics analysis in the precise diagnosis ...