Latest AI and machine learning research in radiology for healthcare professionals.
PURPOSE: Osteoporosis is the systematic degeneration of the human skeleton, with consequences rangin...
BACKGROUND: Invasive coronary angiography (ICA) is a primary imaging modality that visualizes the lu...
PURPOSE: Spinal augmentation procedures (SAP) are standard procedures for vertebral compression frac...
Artificial intelligence (AI) has been making a significant impact on cardiovascular imaging, transfo...
Artificial Intelligence (AI) and Machine Learning (ML) are making headlines in medical research, esp...
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...
BACKGROUND: Although systems such as Prostate Imaging Quality (PI-QUAL) have been proposed for quali...
Brain segmentation is often the first and most critical step in quantitative analysis of the brain f...
The use of artificial intelligence (AI) to assist biomedical imaging have demonstrated its high accu...
OBJECTIVE: Magnetic resonance imaging (MRI) is commonly used to evaluate cervical spinal canal steno...
OBJECTIVES: Evaluate deep learning (DL) to improve the image quality of the PROPELLER (Periodically ...
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...
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...