Latest AI and machine learning research in radiology for healthcare professionals.
BACKGROUND: In MR-guided in-bore percutaneous needle interventions, typically 2D interactive real-ti...
Chronic Obstructive Pulmonary Disease (COPD) represents a global public health issue that significan...
Artificial intelligence (AI) and image processing are revolutionising the diagnosis and management o...
OBJECTIVE: Performing obstetric ultrasound scans is challenging for inexperienced operators; therefo...
This study addresses the challenge of precise breast tumor segmentation in ultrasound images, crucia...
Current imaging methods for diagnosing breast cancer (BC) are associated with limited sensitivity an...
(1) Background: Unruptured Intracranial Aneurysms (UIAs) are common blood vessel malformations, occu...
Alzheimer's disease (AD) presents a significant challenge in neurodegenerative research and clinical...
BACKGROUND: In recent years, as deep learning has received widespread attention in the field of hear...
Liver ultrasound is widely used in clinical practice due to its advantages of non-invasiveness, non-...
AIM: We sought to assess the image quality of three-dimensional (3D) T2-weighted (T2w) turbo spin ec...
Accurate gestational age (GA) prediction is crucial for monitoring fetal development and ensuring op...
This study investigates the impact of air pollution on health outcomes in Middle Eastern countries, ...
: Despite CTAs being critical for preoperative planning in autologous breast reconstruction, experie...
INTRODUCTION: Endobronchial ultrasound transbronchial needle aspiration (EBUS-TBNA) for lung cancer ...
Accurate segmentation of the pancreas in computed tomography (CT) holds paramount importance in diag...
Some pathologies such as cancer and dementia require multiple imaging modalities to fully diagnose a...
The purpose of this study was to evaluate the impact of probability map threshold on pleural mesothe...
This study aimed to develop a graph neural network (GNN) for automated three-dimensional (3D) magnet...
PURPOSE: Surgical robotics have demonstrated their significance in assisting physicians during minim...
Multiple sclerosis (MS) is a demyelinating neurological disorder with a highly heterogeneous clinica...