Latest AI and machine learning research in radiology for healthcare professionals.
OBJECTIVE: The application of artificial intelligence/machine learning (AI/ML) to magnetic resonance...
PURPOSE: Large language models (LLMs) are increasingly integrated into radiology workflows, but thei...
OBJECTIVE: We compared three magnetic resonance imaging (MRI) sequences-native zero echo time (ZTE),...
OBJECTIVE: Manual segmentation of the whole anterior visual pathway (aVP) from high-resolution magne...
BACKGROUND: Brain age estimation provides a noninvasive MRI biomarker of neurodevelopment. In infanc...
OBJECTIVE: This study uses bibliometric analysis and knowledge mapping methods to systematically exp...
This mini-review synthesizes evidence from recent studies to provide an updated perspective on curre...
Deep learning has demonstrated strong potential for MRI reconstruction. However, conventional superv...
Carotid atherosclerotic plaque burden is a well-established biomarker of cerebrovascular and cardiov...
Leucine-rich-repeat-containing protein 15 (LRRC15) is selectively expressed on cancer-associated fib...
BACKGROUND: Despite the high prevalence of knee osteoarthritis, the anatomical factors that characte...
BACKGROUND: This study aims to evaluate the effectiveness of deep learning algorithms in simulating ...
OBJECTIVE: The objective was to develop prognostic models that included convolutional neural network...
OBJECTIVE: To develop and perform preliminary cross-sectional validation of a magnetic resonance ima...
OBJECTIVE: Recent advances in functional magnetic resonance imaging (fMRI) have identified brain fun...
OBJECTIVE: Magnetic resonance imaging (MRI) is widely used for its excellent soft-tissue contrast an...
Prostate Imaging Reporting and Data System (PI-RADS) version 2.1 has substantially advanced the stan...
RATIONALE AND OBJECTIVES: This study aims to develop an optimal model for distinguishing seminoma fr...
OBJECTIVES: To estimate patient-level diagnostic accuracy of deep learning (DL) for MRI-based detect...
OBJECTIVES: This study aimed to develop and validate a hybrid deep learning-radiomics model that lev...
CONTEXT: This paper examines how artificial intelligence (AI) is reshaping diagnostic decision-makin...