Latest AI and machine learning research in radiology for healthcare professionals.
INTRODUCTION: Multiple sclerosis (MS) is an autoimmune neurodegenerative disease affecting the centr...
PURPOSE: The International Federation of Gynecology and Obstetric (FIGO) stage is critical to guidin...
Intracranial atherosclerotic stenosis (ICAS) refers to a narrowing of intracranial arteries due to p...
PURPOSE: Accurate prediction of adverse pathology (AP) in prostate cancer (PCa) patients is crucial ...
PURPOSE: Positron Emission Tomography (PET) is a powerful molecular imaging tool that visualizes rad...
Developmental dysplasia of the hip (DDH) is a painful orthopedic malformation diagnosed at birth in ...
Acute appendicitis (AA) is a common surgical emergency affecting 7-8% of the population. Timely dia...
BACKGROUND: Breast cancer is the most common cancer worldwide, and magnetic resonance imaging (MRI) ...
Brain tumors are a disease that kills thousands of people worldwide each year. Early identification ...
The relatively complex functional anatomy of the mediobasal temporal region makes surgical approache...
This research presents a novel ensemble fuzzy deep learning approach for brain Magnetic Resonance Im...
Advancements in machine learning and deep learning have the potential to revolutionize the diagnosis...
Soft tissue metastasis in esophageal cancer is a very rare entity. A 76-year-old man was referred fo...
PURPOSE: Quantitative analysis of PET images in brain PET/CT relies on MRI-derived regions of intere...
AIM: To evaluate a deep learning-based time-of-flight (DLToF) model trained to enhance the image qua...
PURPOSE: Center-specific effects in PET brain scans arise due to differences in technical and proced...
Invasive coronary angiography (ICA) is the gold standard imaging modality during cardiac interventio...
Accurate identification of plastic materials from post-consumer food container and packaging waste i...
Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental condition common in teenager...
State-of-the-art breast cancer risk (BCR) prediction models have been originally trained on mammogra...
BACKGROUND: We evaluated the acceleration of a three-dimensional isotropic flow-independent magnetic...