Latest AI and machine learning research in radiology for healthcare professionals.
: Early diagnosis of depression is crucial for effective treatment and suicide prevention. Tradition...
The application of deep learning techniques for the analysis of neuroimaging has been increasing rec...
Osteochondral interface consists of two tissues: the calcified cartilage (CC) containing chondrocyte...
Hepatocellular carcinoma (HCC) represents a significant health burden in Egypt, largely attributable...
Magnetic resonance imaging (MRI) provides detailed structural information of the internal body organ...
Cancer immunotherapy has emerged as a novel clinical therapeutic option for a variety of solid tumor...
PurposeWe aimed to investigate the external validation and performance of an FDA-approved deep learn...
BACKGROUD: Schwannoma (SCH) and meningiomas (MEN) are the two most common primary spinal cord tumors...
Early detection and precise characterization of brain tumors play a crucial role in improving patien...
The prevalence of fatty liver disease is on the rise, posing a significant global health concern. If...
Alzheimer's disease is the most common cause of dementia in the elderly population (aged 65 years an...
BACKGROUND: This study aims to develop habitat radiomic models to predict overall survival (OS) for ...
OBJECTIVE: Lymphovascular invasion (LVI) is critical for the effective treatment and prognosis of br...
Brain tumours (BT) affect human health owing to their location. Artificial intelligence (AI) is inte...
Intravascular ultrasound (IVUS) is the gold standard modality for in vivo visualization of coronary ...
Ultrasound (US) has the unique potential to offer access to medical imaging to anyone, everywhere. D...
Ultrasound computed tomography (USCT) quantifies acoustic tissue properties such as the speed-of-sou...
The reliability of automated image interpretation of point-of-care (POC) echocardiography scans depe...
Abdominal aortic aneurysms (AAAs) are rupture-prone dilatations of the aorta. In current clinical pr...
Autonomous ultrasound image quality assessment (US-IQA) is a promising tool to aid the interpretatio...
Freehand 3-D ultrasound imaging is emerging as a promising modality for regular spine exams due to i...