Latest AI and machine learning research in transplantation for healthcare professionals.
Accurate segmentations in medical images are the foundations for various clinical applications. Adva...
Accurate segmentation of pelvic organs (i.e., prostate, bladder, and rectum) from CT image is crucia...
Small intestinal bacterial overgrowth (SIBO) is defined by increased density and/or abnormal composi...
BACKGROUND: The concept of a minimally invasive live donor nephrectomy developed over 20 years ago. ...
BACKGROUND: Although a variety of surgical procedures for lateral ankle ligament reconstruction have...
The use of robotic techniques in laparoscopic donor nephrectomy currently tends to involve a longer ...
The success of unrelated donor stem cell transplants depends on not only finding genetically matched...
Hepatitis C Virus (HCV) is uniformly recurrent after liver transplant (LT) and recurrence is associ...
Close monitoring of estimated glomerular filtration rate (eGFR) is important for early recognition o...
Transplantable kidneys are in very limited supply. Accurate viability assessment prior to transplant...
The evidence-based literature on healthcare is currently expanding exponentially. The opportunities ...
The pulmonary delivery of antitubercular drugs is a promising approach to treat lung tuberculosis. T...
We present a new technique to fully automate the segmentation of an organ from 3D ultrasound (3D-US)...
At current state, although robotics technology has been immensely developed, the uncertainty to comp...
PURPOSE: Fast and accurate graft hepatic steatosis (HS) assessment is of primary importance for lowe...
Extracellular matrix (ECM) proteins have been shown to play important roles regulating multiple biol...
Cancers treated by transplantation are often curative, but immunosuppressive drugs are required to p...
Preeclampsia is a pregnancy associated disease. It is characterized by high blood pressure and sympt...