Latest AI and machine learning research in radiology for healthcare professionals.
BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) remains one of the most aggressive cancers, typi...
BACKGROUND: Preoperative imaging prediction of perineural invasion in gastric cancer (GC-PNI) mainly...
Malignant tumors present a significant global health challenge, and accurate pathological grading is...
Breast cancer remains the most prevalent malignancy among women worldwide. The timely detection of t...
INTRODUCTION/AIMS: The cross-sectional area (CSA) of the median nerve (MN) is a key parameter for co...
PURPOSE: To evaluate the diagnostic performance of a radiomics-based machine learning approach appli...
The detection of Alzheimer's Disease (AD) using structural Magnetic Resonance Imaging (MRI) and Mach...
Streak artifacts in non-contrast computed tomography (NCCT) can obscure anatomical details and even ...
Breast cancer is a life-threatening disease that is very common among women in the world. The early ...
Age-related macular degeneration (AMD) is a disease that primarily affects the outer retina, with pr...
RATIONALE AND OBJECTIVES: Rapid advancements in multimodal large language models (LLMs) highlight th...
PURPOSE: Gait affects knee loading. Modifying gait could reduce load and protect against cartilage l...
BACKGROUND: Accurate measurement of cerebellar volume is crucial for diagnosing cerebellar atrophy o...
OBJECTIVES: Non-contrast MRI (bi-parametric MRI-bpMRI) has been investigated as a potential tool to ...
To develop an interpretable, multi-parameter machine learning (ML) model that integrates plaque morp...
Whole-body magnetic resonance imaging (WB-MRI) is widely used in rheumatology to assess peripheral a...
OBJECTIVE: To explore the role of multi-sequence magnetic resonance imaging (MRI) images in preopera...
OBJECTIVE: To understand the perspective of patients undergoing breast imaging on the use of artific...
To validate a respiratory motion model that uses real-time electromagnetic (EM) surface tracking acq...
OBJECTIVE: Accurate assessment of left ventricular (LV) function using three-dimensional echocardiog...
INTRODUCTION: Autoimmune optic neuritis (ON) is a heterogeneous spectrum that includes multiple scle...