Latest AI and machine learning research in radiology for healthcare professionals.
BACKGROUND: Accurately diagnosing supraspinatus tears based on magnetic resonance imaging (MRI) is c...
During surgery for foci-related epilepsy, neurosurgeons face significant difficulties in identifying...
The use of artificial intelligence (AI) to assist biomedical imaging have demonstrated its high accu...
Brain segmentation is often the first and most critical step in quantitative analysis of the brain f...
OBJECTIVES: Evaluate deep learning (DL) to improve the image quality of the PROPELLER (Periodically ...
OBJECTIVE: Magnetic resonance imaging (MRI) is commonly used to evaluate cervical spinal canal steno...
BACKGROUND: Lateral cephalometric radiograph (LCR) is crucial to diagnosis and treatment planning of...
PURPOSE: Hepatic steatosis (fatty liver disease) affects 25% of the world's population, particularly...
Machine-learning models for medical tasks can match or surpass the performance of clinical experts. ...
Abdominal ultrasonography has become an integral component of the evaluation of trauma patients. Int...
UNLABELLED: Backgound and Objective: Deep learning-based segmentation of the liver and hepatic lesio...
Implanted electronic sensors, compared with conventional medical imaging, allow monitoring of advanc...
BACKGROUND: International societies have issued guidelines for high-risk breast cancer (BC) screenin...
Retinal optical coherence tomography (OCT) imaging is a valuable tool for assessing the condition of...
AIM: To develop a deep-learning model using contrast-enhanced chest computed tomography (CT) images ...
Breast cancer remains the leading cause of cancer-related deaths in women worldwide. Current screeni...
Postoperative anastomotic leaks are the most feared complications after gastric surgery. For diagnos...
Cryo-soft X-ray tomography (cryo-SXT) is a powerful method to investigate the ultrastructure of cell...
Background phase errors in 4D Flow MRI may negatively impact blood flow quantification. In this stud...
BACKGROUND: A variety of external factors might seriously degrade PET image quality and lead to inco...
Robotic handling of objects is not always a trivial assignment, even in teleoperation where, in most...