Artificial Intelligence in Kidney Transplantation: A Scoping Review.

Journal: Studies in health technology and informatics
Published Date:

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.

Authors

  • Asma Alamgir
    College of Science and Engineering, Hamad Bin Khalifa University.
  • Hagar Hussein
    Department of Pathology, Cairo University, Cairo, Egypt.
  • Yasmin Abdelaal
    College of Science and Engineering, Hamad Bin Khalifa University.
  • Alaa Abd-Alrazaq
    College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar.
  • Mowafa Househ
    Faculty College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar1.