Latest AI and machine learning research in radiology for healthcare professionals.
Ultrasound computed tomography (USCT) is a fast-emerging imaging modality that is expected to help d...
Deep-learning auto-contouring (DL-AC) promises standardisation of organ-at-risk (OAR) contouring, en...
Preoperative radiological identification of mandibular canals is essential for maxillofacial surgery...
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...
Image-guided assessment of bile ducts and associated anatomy during laparoscopic cholecystectomy can...
Percutaneous vertebral augmentation (PVA), which includes percutaneous kyphoplasty (PKP) and percuta...
OBJECTIVES: To evaluate the performance of artificial intelligence (AI) software for automatic thora...
Deep learning (DL)-based denoising of low-dose positron emission tomography (LDPET) and low-dose com...
SIGNIFICANCE: Ultrasound (US)-guided diffuse optical tomography (DOT) has demonstrated great potenti...
At ultrahigh field strengths images of the body are hampered by B -field inhomogeneities. These pres...
Intraoperative identification of malignancies using indocyanine green (ICG)-based fluorescence imagi...
Magnetoencephalography (MEG) is a powerful non-invasive diagnostic modality for presurgical epilepsy...
Adult-type diffuse glioma (grade 4) has infiltrating nature, and therefore local progression is like...
With the advent of Artificial Intelligence (AI) and even more so recently in the field of Machine Le...
In this study, a combined convolutional neural network for the diagnosis of three benign skin tumors...
An important step in the analysis of magnetic resonance imaging (MRI) data for neuroimaging is the a...
PURPOSE: To achieve effective robot-assisted laparoscopic prostatectomy, the integration of transrec...