Machine learning models in predicting graft survival in kidney transplantation: meta-analysis
B Ravindhran, P Chandak, N Schafer, K Kundalia… - BJS open, 2023 - academic.oup.com
Background The variations in outcome and frequent occurrence of kidney allograft failure
continue to pose important clinical and research challenges despite recent advances in …
continue to pose important clinical and research challenges despite recent advances in …
[HTML][HTML] Development of a Clinical Decision Support System Using Artificial Intelligence Methods for Liver Transplant Centers
M Yağanoğlu, G Öztürk, F Bozkurt, Z Bilen… - Applied Sciences, 2025 - mdpi.com
The objective of this study is to utilize artificial intelligence techniques for the diagnosis of
complications and diseases that may arise after liver transplantation, as well as for the …
complications and diseases that may arise after liver transplantation, as well as for the …
Predicting prognostic factors in kidney transplantation using a machine learning approach to enhance outcome predictions: a retrospective cohort study
JM Kim, HJ Jung, HE Kwon, Y Ko, JH Jung… - … Journal of Surgery, 2024 - journals.lww.com
Background: Accurate forecasting of clinical outcomes after kidney transplantation is
essential for improving patient care and increasing the success rates of transplants. The …
essential for improving patient care and increasing the success rates of transplants. The …