Latest AI and machine learning research in radiology for healthcare professionals.
This paper presents a novel approach for generating virtual non-contrast planning computed tomograph...
PURPOSE: This study explores the use of deep generative models to create synthetic ultrasound images...
OBJECTIVES: This study evaluates the effectiveness of machine learning (ML) models that incorporate ...
Cardiac Cine Magnetic Resonance Imaging (MRI) provides an accurate assessment of heart morphology an...
The purpose of this study was to construct an artificial intelligence object detection model to dete...
BACKGROUND: Meningioma, the most common primary brain tumor, presents significant challenges in MRI-...
This study aimed to explore a deep learning radiomics (DLR) model based on grayscale ultrasound imag...
Coronary artery disease (CAD) is the main cause of death. It is a complex heart disease that is link...
Cerebral microbleeds (CMB) represent a feature of cerebral small vessel disease (cSVD), a prominent ...
Alzheimer's disease (AD) is a neurodegenerative disorder. It causes progressive degeneration of the ...
RATIONALE AND OBJECTIVES: To evaluate and compare image quality of different energy levels of virtua...
Endoscopic ultrasound (EUS) is widely used for the diagnosis of biliopancreatic and gastrointestinal...
Deep neural networks (DNNs) have remarkable potential to reconstruct ultrasound images. However, thi...
Artificial intelligence (AI) is transforming medical radiation applications by handling complex data...
Deep-tissue solid cancer treatment has a poor prognosis, resulting in a very low 5-year patient surv...
This systematic review aimed to evaluate the application of artificial intelligence (AI) in the iden...
We aimed to systematically review and meta-analyze the predictive value of magnetic resonance imagin...
The classification of Doppler ultrasound images plays an important role in the diagnosis of pregnanc...
BACKGROUND: Detecting and segmenting intracranial aneurysms (IAs) from angiographic images is a labo...
PURPOSE: To evaluate the diagnostic ability and methodological quality of ML models in detecting Pan...
Multimodal data, while being information-rich, contains complementary as well as redundant informati...