Latest AI and machine learning research in transplantation for healthcare professionals.
By addressing communication gaps, the integration of AI tools in healthcare has a greater ability to...
INTRODUCTION: Delayed graft function (DGF) shortens the survival time of transplanted kidneys and in...
Accurately extracting organs from medical images provides radiologist with more comprehensive eviden...
BACKGROUND: Patients undergoing liver transplantation (LT) are at risk of perioperative neurocogniti...
Road surface roughness is the cause of vehicle vibration, which is considered a system disturbance. ...
The approaches used to determine the medicinal properties of the plants are often destructive, labor...
The connection between metabolic reprogramming and tumor progression has been demonstrated in an inc...
BACKGROUND: Primary graft dysfunction (PGD) develops within 72 h after lung transplantation (Lung Tx...
This research aimed to identify novel indicators for sepsis by analyzing RNA sequencing data from pe...
BACKGROUND: Several scores have been developed to stratify the risk of graft loss in controlled dona...
Artificial intelligence (AI) advancements have accelerated applications of imaging in clinical oncol...
Fabry disease (FD) is a rare disorder resulting from a genetic mutation characterized by the accumul...
BACKGROUND AND OBJECTIVES: For the planning of surgical procedures involving the bony reconstruction...
Although prediction models for heart transplantation outcomes have been developed previously, a comp...
Maternal nutritional status plays a crucial role in embryonic development and has persistent effects...
OBJECTIVE: This study aims to evaluate key factors influencing the short-term and long-term prognosi...
Traditional Chinese medicine (TCM) has long utilized tongue diagnosis as a crucial method for assess...
Cosmetic inspection of freeze-dried products is an important part of the post-manufacturing quality ...
Human nails have recently become a sample of interest for toxicological purposes. Multiple studies h...
Interstitial lung disease (ILD) is known to be a major complication of systemic sclerosis (SSc) and ...
In computational pathology, graphs have shown to be promising for pathology image analysis. There ex...