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Journal of Nephrology

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22.12.2022 | Review

Toward generalizing the use of artificial intelligence in nephrology and kidney transplantation

verfasst von: Samarra Badrouchi, Mohamed Mongi Bacha, Hafedh Hedri, Taieb Ben Abdallah, Ezzedine Abderrahim

Erschienen in: Journal of Nephrology | Ausgabe 4/2023

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Abstract

With its robust ability to integrate and learn from large sets of clinical data, artificial intelligence (AI) can now play a role in diagnosis, clinical decision making, and personalized medicine. It is probably the natural progression of traditional statistical techniques. Currently, there are many unmet needs in nephrology and, more particularly, in the kidney transplantation (KT) field. The complexity and increase in the amount of data, and the multitude of nephrology registries worldwide have enabled the explosive use of AI within the field. Nephrologists in many countries are already at the center of experiments and advances in this cutting-edge technology and our aim is to generalize the use of AI among nephrologists worldwide. In this paper, we provide an overview of AI from a medical perspective. We cover the core concepts of AI relevant to the practicing nephrologist in a consistent and simple way to help them get started, and we discuss the technical challenges. Finally, we focus on the KT field: the unmet needs and the potential role that AI can play to fill these gaps, then we summarize the published KT-related studies, including predictive factors used in each study, which will allow researchers to quickly focus on the most relevant issues.

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Titel: Toward generalizing the use of artificial intelligence in nephrology and kidney transplantation
verfasst von: Samarra Badrouchi
Mohamed Mongi Bacha
Hafedh Hedri
Taieb Ben Abdallah
Ezzedine Abderrahim
Publikationsdatum: 22.12.2022
Verlag: Springer International Publishing
Erschienen in: Journal of Nephrology / Ausgabe 4/2023
Print ISSN: 1121-8428
Elektronische ISSN: 1724-6059
DOI: https://doi.org/10.1007/s40620-022-01529-0

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