Latest AI and machine learning research in radiology for healthcare professionals.
RATIONALE AND OBJECTIVES: To generate virtual T1 contrast-enhanced (T1CE) sequences from plain spina...
BACKGROUND: Malignant cerebral edema (MCE) is a significant complication following endovascular thro...
Differentiating normal from minimally and mildly diseased coronary arteries on coronary computed tom...
Ultrasound detection is a potent tool for the clinical diagnosis of various diseases due to its real...
BACKGROUND: Infant brain tissue segmentation from MRI data is a critical task in medical imaging, pa...
This study introduces a novel deep learning approach aimed at accurately classifying Gallbladder Can...
PURPOSE: The clinical value of quantitative MRI hinges on its measurement repeatability. Deep learni...
The retina is an important part of the eye that aids in focusing light and visual recognition to the...
BACKGROUND AND OBJECTIVE: Diffusion models have demonstrated their ability in image generation and s...
The combination of Ca overload and reactive oxygen species (ROS) production for cancer therapy offer...
BACKGROUND: Artificial intelligence (AI) presents a promising approach to balancing high image quali...
OBJECTIVE: The aim of this study was to develop and validate a deep learning radiomics (DLR) model b...
Radiocontrast media is a major cause of nephrotoxic acute kidney injury(AKI). Contrast-enhanced CT(C...
Health is fundamental to human well-being, with brain health particularly critical for cognitive fun...
OBJECTIVE: This study explores the value of combining intratumoral and peritumoral radiomics feature...
RATIONALE AND OBJECTIVES: This study constructed an interpretable machine learning model based on mu...
PURPOSE: Respiratory motion during PET acquisition may produce lesion blurring. Ultra-fast 20-second...
INTRODUCTION: Hydrogel spacers (HS) are designed to minimise the radiation doses to the rectum in pr...
BACKGROUND: In artificial intelligence for ultrasound-guided regional anaesthesia, accurate nerve id...
In recent years, post-mortem imaging has advanced with techniques such as Post-Mortem Computed Tomog...
Radiology is one of the medical specialties most significantly impacted by Artificial Intelligence (...