Latest AI and machine learning research in radiology for healthcare professionals.
OBJECTIVE: Magnetic resonance imaging (MRI) acquisition is inherently sensitive to motion, and motio...
To improve the performance of brain tumor diagnosis, numerous automatic brain tumor diagnosis system...
The next generation of intelligent robotic systems has been envisioned as micro-scale mobile and ext...
Saturation transfer MRI can be useful in the characterization of different tumour types. It is sensi...
PURPOSE: This study aims to evaluate the impact of key parameters on the pseudo computed tomography ...
Accurately segmenting contrast-filled vessels from X-ray coronary angiography (XCA) image sequence i...
PURPOSE: To evaluate the usefulness of deep learning-assisted diagnosis for identifying hyperdense m...
Robot-assisted cardiovascular surgery is used to avoid surgeon suffering from X-ray radiation and re...
Echo planar imaging (EPI) is a fast and non-invasive magnetic resonance imaging technique that suppo...
PURPOSE: Precise localization of cystic bone lesions is crucial for osteolytic bone tumor surgery. R...
PURPOSE: Estimation of accurate attenuation maps for whole-body positron emission tomography (PET) i...
BACKGROUND: Magnetic resonance imaging (MRI) and amino acid positron-emission tomography (PET) of th...
The use of intraoral ultrasound imaging has received great attention recently due to the benefits of...
OBJECTIVE: To develop and validate a machine learning (ML) approach for automatic three-dimensional ...
The new era of artificial intelligence (AI) has introduced revolutionary data‑driven analysis paradi...
OBJECTIVE: Establish a workflow that utilizes convolutional neural nets (CNN) to classify solid, lip...
Deep convolutional neural network (DCNN), now popularly called artificial intelligence (AI), has sho...
This work proposes using artificial neural networks (ANNs) for the regression of the dosimetric quan...
The clinical value of multiple b-value diffusion-weighted (DW) magnetic resonance imaging (MRI) has ...
BACKGROUND: Structure delineation is a necessary, yet time-consuming manual procedure in radiotherap...
PURPOSE: To evaluate the diagnostic performance of machine learning for discrimination between low-g...