Latest AI and machine learning research in radiology for healthcare professionals.
PURPOSE: To compare the diagnostic performance of 1.5 T versus 3 T magnetic resonance angiography (M...
Motion compensation in radiation therapy is a challenging scenario that requires estimating and fore...
OBJECTIVE: Breast cancer treatment often causes the removal of or damage to lymph nodes of the patie...
OBJECTIVE: In this paper, we focus on the carrying out and validation of minimally invasive three-di...
Machine learning has shown great promise for integrating multi-modality neuroimaging datasets to pre...
OBJECTIVE: Normal interictal [ F]FDG-PET can be predicted from the corresponding T1w MRI with Genera...
Ultrasound computed tomography (USCT) is a fast-emerging imaging modality that is expected to help d...
Ultrasound (US) imaging is a paramount modality in many image-guided surgeries and percutaneous inte...
Fusing intraoperative 2-D ultrasound (US) frames with preoperative 3-D magnetic resonance (MR) image...
Two-dimensional lung ultrasound (LUS) has widely emerged as a rapid and noninvasive imaging tool for...
This study presents a portable device that ensures precise contact force between a subject and a pro...
Preoperative radiological identification of mandibular canals is essential for maxillofacial surgery...
Deep-learning auto-contouring (DL-AC) promises standardisation of organ-at-risk (OAR) contouring, en...
We sought to accelerate 2D/3D image registration computation time using image synthesis with a deep ...
Artificial intelligence (AI) in radiology is a rapidly developing field with several prospective cli...
Although there is no solid agreement for artificial intelligence (AI), it refers to a computer syste...
RATIONALE AND OBJECTIVES: To develop and validate a T2-weighted magnetic resonance imaging (MRI)-bas...
Malignant brain tumors including parenchymal metastatic (MET) lesions, glioblastomas (GBM), and lymp...
Percutaneous vertebral augmentation (PVA), which includes percutaneous kyphoplasty (PKP) and percuta...
Image-guided assessment of bile ducts and associated anatomy during laparoscopic cholecystectomy can...
Deep learning (DL)-based denoising of low-dose positron emission tomography (LDPET) and low-dose com...