Latest AI and machine learning research in radiology for healthcare professionals.
AIM: Diagnostic imaging is an integral part of identifying spondyloarthropathies (SpA), yet the inte...
PURPOSES: This study aimed to assess the effectiveness of Super-Resolution Deep Learning Reconstruct...
OBJECTIVES: Neonatal hypoxic-ischemic encephalopathy is a serious neurologic condition associated wi...
PURPOSE: This study aimed to develop and evaluate a machine learning model combining clinical, radio...
BACKGROUND: Quantitative magnetic resonance imaging (MRI) analysis has shown promise in differentiat...
BACKGROUND: As a result of the 21st Century Cures Act, radiology reports are immediately released to...
Using brain imaging quantitative traits (QTs) for identifying genetic risk factors is an important r...
To assess the feasibility of utilizing a large language model (LLM) in extracting clinically relevan...
This study assessed the accuracy and reliability of artificial intelligence (AI)-reconstructed image...
BACKGROUND: Ultrasound (US) has great potential for application in computer-assisted orthopedic surg...
The deep learning technique has been shown to be effectively addressed several image analysis tasks ...
BACKGROUND AND OBJECTIVE: This study aims to assess the effectiveness of combining radiomics feature...
The integration of computational technologies into cardiology has significantly advanced the diagnos...
The increasing complexity of diagnostic imaging often leads to misinterpretations and diagnostic err...
Positron emission tomography/computed tomography (PET/CT) is a hybrid medical imaging technique that...
RATIONALE AND OBJECTIVES: This study aimed to develop a radiomics model characterized by Ga-fibrobla...
BACKGROUND: Using artificial intelligence (AI) to augment knowledge is key to establishing precision...
BACKGROUND: Previous studies explored MRI-based radiomic features for differentiating between human ...
RATIONALE AND OBJECTIVES: Multi-parametric MRI (mpMRI) studies of the body are routinely acquired in...
BACKGROUND: Magnetic resonance imaging (MRI) is a crucial technique for both scientific research and...
BACKGROUND: The use of endovascular procedures is becoming increasingly popular across multiple clin...