Latest AI and machine learning research in radiology for healthcare professionals.
RATIONALE AND OBJECTIVES: To compare a conventional T1 volumetric interpolated breath-hold examinati...
The numerous and varied forms of neurodegenerative illnesses provide a considerable challenge to con...
Congenital heart disease (CHD) is the most frequent birth defect and a leading cause of infant morta...
Diffuse large B-cell lymphoma (DLBCL), a cancer of B cells, has been one of the most challenging and...
Machine learning offers great potential for automated prediction of post-stroke symptoms and their r...
This study aims to evaluate an AI model designed to automatically classify skull fractures and visua...
PURPOSE: We compared the performance of generative artificial intelligence (AI) (Augmented Transform...
An investigation of various convolutional neural network (CNN)-based deep learning algorithms was c...
PURPOSE: To examine whether there is a significant difference in image quality between the deep lear...
Image segmentation is a critical and challenging endeavor in the field of medicine. A magnetic reson...
The widespread adoption of smartphones coupled with advancements in artificial intelligence has sign...
Presurgical evaluation with functional magnetic resonance imaging (fMRI) can reduce postsurgical mor...
AIMS: To examine whether natural language processing (NLP) using a clinically based large language m...
Non-invasive prostate cancer classification from MRI has the potential to revolutionize patient care...
The automatic generation of accurate radiology reports is of great clinical importance and has drawn...
Deep learning (DL) has proven highly effective for ultrasound-based computer-aided diagnosis (CAD) o...
OBJECTIVE: To establish reference ranges of fetal intracranial markers during the first trimester an...
BACKGROUND: Morphological properties such as length and tortuosity of the large intestine segments p...
Robustness of deep learning segmentation models is crucial for their safe incorporation into clinica...
BACKGROUND: Lung ultrasound can evaluate for pneumothorax but the accuracy of diagnosis depends on e...
The aim of this study was to investigate the effect of iterative motion correction (IMC) on reducing...