AI Medical Compendium Journal:
Transplantation

Showing 11 to 16 of 16 articles

The Future Role of Machine Learning in Clinical Transplantation.

Transplantation
The use of artificial intelligence and machine learning (ML) has revolutionized our daily lives and will soon be instrumental in healthcare delivery. The rise of ML is due to multiple factors: increasing access to massive datasets, exponential increa...

Machine-Learning Algorithms Predict Graft Failure After Liver Transplantation.

Transplantation
BACKGROUND: The ability to predict graft failure or primary nonfunction at liver transplant decision time assists utilization of scarce resource of donor livers, while ensuring that patients who are urgently requiring a liver transplant are prioritiz...

Minimally invasive kidney transplantation: perioperative considerations and key 6-month outcomes.

Transplantation
BACKGROUND: Minimally invasive approaches to kidney transplantation (KT) have been described recently. However, information concerning perioperative management in these patients is lacking. Accordingly, in the current study, we describe our periopera...