Latest AI and machine learning research in radiology for healthcare professionals.
Malignant glioma is the uncontrollable growth of cells in the spinal cord and brain that look simila...
OBJECTIVES: To develop and validate an interpretable and generalized machine learning model using MR...
AIM: This review aims to evaluate the role of interventional radiotherapy (IRT - brachytherapy) in t...
OBJECTIVE: To investigate the use of deep learning (DL) T2-weighted turbo spin echo (TSE) imaging se...
RATIONALE AND OBJECTIVES: Type 2 diabetes is a known risk factor for vascular disease with an impact...
Nuclear medicine has continuously evolved since its beginnings, constantly improving the diagnosis a...
Microplastics (MPs) are ubiquitous and have various characteristics. However, their impacts on bacte...
Peripheral artery disease (PAD) remains underdiagnosed and undertreated and is associated with an in...
In bone cancer imaging, positron emission tomography (PET) is ideal for the diagnosis and staging of...
Diffusion magnetic resonance imaging (dMRI) is a non-invasive method for capturing the microanatomic...
Mammography is the recommended imaging modality for breast cancer screening. Expressions of human ep...
PURPOSE: The aim of this study is to convert low-dose PET (L-PET) images to full-dose PET (F-PET) im...
PURPOSE: This clinical trial examined how the articifial intelligence (AI)-based diagnostics system ...
PURPOSE: This study investigated the effect of multiple magnetic resonance (MR) sequences on the qua...
BACKGROUND: Precise detection and characterization of pulmonary nodules on computed tomography (CT) ...
OBJECTIVES: Deep learning reconstruction of magnetic resonance imaging (MRI) allows to either improv...
Primary graft dysfunction (PGD) is a common complication after lung transplantation associated with ...
OBJECTIVE: Long-axial field-of-view (LAFOV) positron emission tomography (PET) systems allow higher ...
BACKGROUND: Magnetic resonance imaging (MRI) has proven to be a valuable noninvasive tool to evaluat...
The striatum, a crucial part of the basal ganglia, plays a key role in various brain functions throu...
The objective was to use convolutional neural networks (CNNs) for automatic segmentation of hip cart...