Latest AI and machine learning research in radiology for healthcare professionals.
INTRODUCTION: High bleeding risk (HBR) affects over one-third of patients undergoing percutaneous co...
Urodynamic tests are used to assess bladder function by measuring detrusor pressure, which requires ...
BACKGROUND: The left atrial (LA) morphological profile, anatomically contiguous with the left atrial...
PURPOSE: Cranial nerve imaging with 3T MRI commonly uses 3D fast imaging employing steady-state acqu...
Whole-body MRI (WB-MRI) has evolved over the past 2 decades as a noninvasive imaging technique for d...
Deep learning has achieved remarkable performance in carotid intima-media (CIM) segmentation from ul...
The purpose of this study is to perform an independent assessment of three state-of-the-art tools fo...
Tissue motions within body segments, such as the relative movements of muscles, fascia, and bone, re...
The development of trustworthy AI models is crucial, particularly for critical medical applications ...
Identifying brain hemorrhages from magnetic resonance imaging (MRI) is a critical task for healthcar...
As large language models (LLMs) become increasingly integrated into clinical workflows, advanced pro...
OBJECTIVE: Multiparametric magnetic resonance imaging (mpMRI) detects clinically significant prostat...
PURPOSE: This study aimed to develop a hybrid decision support framework combining deep learning (DL...
BACKGROUND: The changing working conditions in routine radiological reporting require the use of new...
BACKGROUND: Artificial intelligence-based medical devices (AIMDs) have emerged as transformative tec...
Reducing scan times, radiation dose, and enhancing image quality, especially for lower-performance s...
Approximately 30-50% of Papillary thyroid carcinoma (PTC) patients develop cervical lymph nodes (LNs...
With increasing interest in studying biological systems across spatial scales-from centimeters down ...
Cardiovascular events, predominantly ischemic, account for approximately 32% of global mortality and...
Contrast enhancement technique is a prevalent problem in aiding interpretation of Magnetic Resonance...
Artificial intelligence (AI) is reshaping cardiac electrophysiology by extracting information from e...