Latest AI and machine learning research in radiology for healthcare professionals.
AIM: This research work aims at developing an automatic medical image analysis and detection for acc...
BACKGROUND: To assess the accuracy of fully automated deep learning (DL) based coronary artery calci...
BACKGROUND AND PURPOSE: The prevalence of unruptured intracranial aneurysms in the general populatio...
There has been an increasing role of magnetic resonance imaging (MRI) in the management of prostate ...
OBJECTIVES: An automatic system utilizing both the advantages of the neural network and the radiomic...
The aim of this research was to analyze the application of fuzzy C-means (FCM) algorithm-based ARM-L...
This research was aimed at investigating the artificial intelligence (AI) segmentation algorithm-bas...
PURPOSE: To investigate the ability of deep learning (DL) using convolutional neural networks (CNNs)...
The diagnostic performance of a combined architecture on Parkinson's disease using diffusion tensor ...
BACKGROUND: Hematoma expansion is an independent predictor of patient outcome and mortality. The ear...
Automatic characterization of fluorescent labeling in intact mammalian tissues remains a challenge d...
:The purpose of this study was to discriminate between benign and malignant breast lesions through s...
Morphological abnormalities of the femoroacetabular (hip) joint are among the most common human musc...
PURPOSE: The purpose of this study was to assess the capabilities of a deep learning (DL) tool to di...
We are in the middle of a digital revolution in medicine. This raises the question of whether subjec...
The dark-field microscopy (DFM) imaging technology has the advantage of a high signal-to-noise ratio...
Ultrasound computed tomography is an inexpensive and radiation-free medical imaging technique used t...
BACKGROUND: Advanced cardiac imaging with positron emission tomography (PET) is a powerful tool for ...
Due to advancements in ultrasound techniques, the focus of antenatal ultrasound screening is moving ...
BACKGROUND: Until today, assessment of renal function has remained a challenge for modern medicine. ...
Retzius-sparing robot-assisted radical prostatectomy (RS-RARP) exhibits better postoperative urinary...