Latest AI and machine learning research in radiology for healthcare professionals.
PURPOSE: Hepatic steatosis (fatty liver disease) affects 25% of the world's population, particularly...
PURPOSE: In this study we investigate how patients perceive the interaction between artificial intel...
Machine-learning models for medical tasks can match or surpass the performance of clinical experts. ...
OBJECTIVES: Siamese neural networks (SNN) were used to classify the presence of radiopaque beads as ...
UNLABELLED: Backgound and Objective: Deep learning-based segmentation of the liver and hepatic lesio...
Abdominal ultrasonography has become an integral component of the evaluation of trauma patients. Int...
OBJECTIVES: Dentists and oral surgeons often face difficulties distinguishing between radicular cyst...
Implanted electronic sensors, compared with conventional medical imaging, allow monitoring of advanc...
Retinal optical coherence tomography (OCT) imaging is a valuable tool for assessing the condition of...
BACKGROUND: International societies have issued guidelines for high-risk breast cancer (BC) screenin...
AIM: To develop a deep-learning model using contrast-enhanced chest computed tomography (CT) images ...
PURPOSE: Water saturation shift referencing (WASSR) Z-spectra are used commonly for field referencin...
Breast cancer remains the leading cause of cancer-related deaths in women worldwide. Current screeni...
Diabetic retinopathy is a leading cause of blindness in working-age adults worldwide. Neovascular le...
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...
Robotic handling of objects is not always a trivial assignment, even in teleoperation where, in most...
BACKGROUND: A variety of external factors might seriously degrade PET image quality and lead to inco...
Background phase errors in 4D Flow MRI may negatively impact blood flow quantification. In this stud...
The axial field of view (FOV) is a key factor that affects the quality of PET images. Due to hardwar...
RATIONALE AND OBJECTIVES: Fluid-attenuated inversion recovery (FLAIR) imaging is playing an increasi...