@inproceedings{fd4518a7f2d54bff8c0a613ae7d6136e,
title = "Artificial Intelligence in Kidney Transplantation: A Scoping Review",
abstract = "Artificial Intelligence (AI) technologies are increasingly being used to enhance kidney transplant outcomes. In this review, we explore the use of AI in kidney transplantation (KT) in the existing literature. Four databases were searched to identify a total of 33 eligible studies. AI technologies were used to help in diagnostic, predictive and medication management purposes for kidney transplant patients. AI is an emerging tool in KT, however, there is a research gap exploring the limitations associated with implementing AI technologies in the field. Research is also needed to recognize clinical educational needs and other barriers to promote adoption and standardization of care for KT patients amongst clinicians.",
keywords = "Artificial Intelligence, Deep Learning, Kidney Transplant, Machine Learning",
author = "Asma Alamgir and Hagar Hussein and Yasmin Abdelaal and Alaa Abd-Alrazaq and Mowafa Househ",
note = "Publisher Copyright: {\textcopyright} 2022 European Federation for Medical Informatics (EFMI) and IOS Press.; 32nd Medical Informatics Europe Conference, MIE 2022 ; Conference date: 27-05-2022 Through 30-05-2022",
year = "2022",
month = may,
day = "25",
doi = "10.3233/SHTI220448",
language = "English",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press BV",
pages = "254--258",
editor = "Brigitte Seroussi and Patrick Weber and Ferdinand Dhombres and Cyril Grouin and Jan-David Liebe and Jan-David Liebe and Jan-David Liebe and Sylvia Pelayo and Andrea Pinna and Bastien Rance and Bastien Rance and Lucia Sacchi and Adrien Ugon and Adrien Ugon and Arriel Benis and Parisis Gallos",
booktitle = "Challenges of Trustable AI and Added-Value on Health - Proceedings of MIE 2022",
address = "Netherlands",
}