Latest AI and machine learning research in radiology for healthcare professionals.
At present, most vascular intervention robots cannot cope with the more common coronary complex lesi...
. The image reconstruction of ultrasound computed tomography is computationally expensive with conve...
The ability to efficiently and reproducibly generate subject-specific 3D models of bone and soft tis...
Under the black-box nature in the deep learning model, it is uncertain how the change in contrast le...
Magnetic resonance provides exquisite anatomical images and functional MRI monitors physiological ac...
The 2019 coronavirus disease (COVID-19) has rapidly spread across the globe. It is crucial to identi...
. In PET/CT imaging, CT is used for positron emission tomography (PET) attenuation correction (AC). ...
Congenital heart defect (CHD) refers to the overall structural abnormality of the heart or large blo...
PURPOSE: There is a growing interest in minimally invasive surgery as interventional radiology (IVR)...
Asthma is a common disorder affecting around 315 million individuals worldwide. The heterogeneity of...
BACKGROUND: Detecting brain tumors in their early stages is crucial. Brain tumors are classified by ...
OBJECTIVE: High-resolution ultrasound is an emerging tool for diagnosing carpal tunnel syndrome caus...
INTRODUCTION: Neuroinflammation evaluation after acute ischemic stroke is a promising option for sel...
Acquisition of a standard section is a prerequisite for ultrasound diagnosis. For a long time, there...
Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer. Neoadjuvant systemic...
Visual inputs are far from ideal in everyday situations such as in the fog where the contrasts of in...
Diffusion MRI is a useful neuroimaging tool for non-invasive mapping of human brain microstructure a...
Recently, deep learning using convolutional neural networks (CNNs) has yielded consistent results in...
AIM: To understand the attitudes of UK radiology trainees towards artificial intelligence (AI) in Ra...
OBJECTIVE: To investigate the predictive value of deep learning-based cardiac ultrasound flow imagin...
Rapid improvements in ultrasound imaging technology have made it much more useful for screening and ...