Latest AI and machine learning research in radiology for healthcare professionals.
OBJECTIVE: To evaluate a system we developed that connects natural language processing (NLP) for inf...
BACKGROUND: Contrast-enhanced harmonic endoscopic ultrasound (CEH-EUS) and quantitative-elastography...
Mild cognitive impairment (MCI) represents a transitional state between normal aging and Alzheimer's...
PURPOSE: Tele-operation of robotic surgery reduces the radiation exposure during the interventional ...
The generativity and complexity of human thought stem in large part from the ability to represent re...
An effective fuzzy auto-seed cluster means morphological algorithm developed in this work to segment...
Parkinson's disease (PD) is an overwhelming neurodegenerative disorder caused by deterioration of a ...
BACKGROUND: Clinicians who frequently perform ultrasound scanning procedures often suffer from muscu...
Accurate and reliable tumour delineation on positron emission tomography (PET) is crucial for radiot...
BACKGROUND: Radiology reports are a rich resource for biomedical research. Prior to utilization, tra...
Right ventricular (RV) volume and function evaluation is essential in the follow-up of patients afte...
The safety and feasibility of robotically-assisted percutaneous coronary intervention (PCI) for simp...
Delineation of organs at risk (OARs) is a crucial step in surgical and treatment planning in brain c...
OBJECTIVE: To obtain high-quality positron emission tomography (PET) image with low-dose tracer inje...
Recent resting-state functional MRI investigations have demonstrated that much of the large-scale fu...
PURPOSE: The logistics of conducting double-blinded phase III clinical trials with participants resi...
Laser speckle contrast imaging (LSCI) provides a noninvasive and cost effective solution for in vivo...
In mammographic images, extracting different anatomical structures and tissues types is a critical r...
The amount of coronary artery calcification (CAC) is a strong and independent predictor of cardiovas...
Two new studies highlight the potential of neuroimaging to aid the differential diagnosis of neurode...
Feedforward deep neural networks (DNNs), artificial neural networks with multiple hidden layers, hav...