Latest AI and machine learning research in radiology for healthcare professionals.
PURPOSE: The relative merits of 2D and 3D MRCP remain incompletely defined, and the effect of super-...
OBJECTIVES: To investigate the diagnostic performance of the quantitative morphological feature of s...
Eye muscle area (EMA) and backfat thickness (BFT) are key determinants of pig carcass value. While u...
OBJECTIVES: To construct and validate a model based on clinical characteristics and magnetic resonan...
BACKGROUND: Due to immunosuppression, mucosal barrier injury, and prolonged neutropenia resulting fr...
OBJECTIVE: To evaluate the clinical feasibility of single-shot fast spin-echo T2-weighted MRI with d...
PURPOSE OF REVIEW: The diagnostic evaluation of mitral regurgitation (MR) is complex, time-intensive...
PURPOSE: To develop a deep learning model based on nnU-Net for automated segmentation of all perigas...
The objective was to evaluate the image quality and hepatic lesion conspicuity in a dual-low-dose (r...
The increasing complexity of cardiovascular procedures, regulatory constraints, and heightened patie...
BACKGROUND: Deep learning (DL) methods have shown potential for predicting clinically significant pr...
BACKGROUND: As the histopathology workforce continues to struggle and service demand continues to in...
Non-suicidal self-injury (NSSI) is highly prevalent in adolescents with major depressive disorder (M...
BACKGROUND: Previous research on brain network topology in Tobacco Use Disorder (TUD) has been incon...
BACKGROUND: Accurate assessment of 3D four chamber cardiac anatomy is essential for managing repaire...
Orofacial clefts are among the most common congenital craniofacial abnormalities, yet accurate prena...
PURPOSE: Machine learning (ML) may support decision-making for acute abdominal pain (AAP), but limit...
Learning-based image classification has become central to modern medical imaging, but the field is c...
A hybrid fusion architecture based on deep convolutional neural networks (CNNs) was implemented for ...
MR data quality depends on static magnetic field (B0) homogeneity. At the beginning of each session,...
The ribosome biases the conformations sampled by nascent polypeptide chains along folding pathways t...