Latest AI and machine learning research in transplantation for healthcare professionals.
Deep learning with Convolutional Neural Networks has shown great promise in image-based classificati...
Despite the adoption of robotic donor nephrectomy, the steep learning curve of robotic recipient tr...
We encountered a 55-year-old Japanese man with advanced renal cell carcinoma and slowly progressive ...
PURPOSE: Current approaches to quantification of magnetic particle imaging (MPI) for cell-based ther...
Fully convolutional neural network (FCN) has achieved great success in semantic segmentation. Howeve...
Brain metastases are the most lethal cancer lesions; 10-30% of all cancers metastasize to the brain,...
PURPOSE: Segmentation of liver organ and tumors from computed tomography (CT) scans is an important ...
In the past few decades, identification recognition based on electroencephalography (EEG) has receiv...
BACKGROUND: Machine learning has led to several endoscopic studies about the automated localization ...
Supervised machine learning (ML) is a class of algorithms that "learn" from existing input-output pa...
Mesenchymal stem cells (MSCs) have immunomodulatory traits making them a promising choice in the tr...
We retrospectively reviewed 12 minimally displaced fractures of the scaphoid waist in 12 patients wh...
Human Leukocyte Antigen class II (HLA-II) molecules present peptides to T lymphocytes and play an im...
Arrhythmia, a common heart disease, is an abnormal frequency or rhythm of heartbeat caused by the or...
To compare short- and midterm outcomes of the first 55 patients undergoing robot-assisted kidney tr...
Allele specific antibody response against the polymorphic system of HLA is the allogeneic response m...
Splice site prediction is crucial for understanding underlying gene regulation, gene function for be...
Clinical decision-making in kidney transplant (KT) during the coronavirus disease 2019 (COVID-19) pa...
Hepatic steatosis droplet quantification with histology biopsies has high clinical significance for ...
AIM: The aim of this study was to determine whether our deep convolutional neural network-based anom...
Stability and compatibility between chemical components are essential parameters that need to be con...