Latest AI and machine learning research in transplantation for healthcare professionals.
Recently, generative adversarial network (GAN) has shown its strong ability on modeling data distrib...
To evaluate the clinical performance of a deep learning-accelerated single-breath-hold half-Fourier ...
Computer aided diagnostics often requires analysis of a region of interest (ROI) within a radiology ...
Chest radiography is one of the most widely used diagnostic methods in hospitals, but it is difficul...
BACKGROUND: Transplant nephropathology is a highly specialized field of pathology comprising both th...
BACKGROUND: Due to the advancement of medical imaging and computer technology, machine intelligence ...
We experienced 3 cases of port-access robot-assisted totally endoscopic technique for mitral valve r...
The classification of biological sequences is an open issue for a variety of data sets, such as vira...
Although ultrasound plays an important role in the diagnosis of chronic kidney disease (CKD), image ...
BACKGROUND: No consensus exists regarding the management of recurrent pelvic organ prolapse (POP). T...
A novel, portable, and smartphone-based molecularly imprinted polymer electrochemiluminescence (MIP-...
At high elevations, the human body experiences a number of pathological, physiological, and biochemi...
Inspired by biomechanical studies, the spring-loaded inverted pendulum model is an effective behavio...
Despite the success of convolutional neural network (CNN) in conventional closed-set recognition (CS...
BACKGROUND: Outcome prediction following heart transplant is critical to explaining risks and benefi...
BACKGROUND: There is a growing need for new improved classifiers of prognosis in hepatocellular carc...
Currently, robotic-assisted coronary artery bypass grafting (RACABG) is a feasible choice for myocar...
Endomyocardial biopsy (EMB) screening represents the standard of care for detecting allograft reject...
This study was aimed at exploring the application of image segmentation based on full convolutional ...
INTRODUCTION: The current study presents a deep learning framework to determine, in real-time, posit...