Artificial intelligence in peritoneal dialysis: general overview

Objective This article is a general overview about artificial intelligence/machine learning (AI/ML) algorithms in the domain of peritoneal dialysis (PD).Methods We searched studies that used AI/ML in PD, which were classified according to the type of algorithm and PD issue.Results Studies were divid...

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Main Authors: Qiong Bai, Wen Tang
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:Renal Failure
Subjects:
Online Access:https://www.tandfonline.com/doi/10.1080/0886022X.2022.2064304
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author Qiong Bai
Wen Tang
author_facet Qiong Bai
Wen Tang
author_sort Qiong Bai
collection DOAJ
description Objective This article is a general overview about artificial intelligence/machine learning (AI/ML) algorithms in the domain of peritoneal dialysis (PD).Methods We searched studies that used AI/ML in PD, which were classified according to the type of algorithm and PD issue.Results Studies were divided into (a) predialytic stratification, (b) peritoneal technique issues, (c) infections, and (d) complications prediction. Most of the studies were observational and majority of them were reported after 2010.Conclusions There is a number of studies proved that AI/ML algorithms can predict better than conventional statistical method and even nephrologists. However, the soundness of AI/ML algorithms in PD still requires large databases and interpretation by clinical experts. In the future, we hope that AI will facilitate the management of PD patients, thus increasing the quality of life and survival.
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spelling doaj.art-a89737e3cc3c4cb095c320c403f7f8a72022-12-22T02:20:54ZengTaylor & Francis GroupRenal Failure0886-022X1525-60492022-12-0144168268710.1080/0886022X.2022.2064304Artificial intelligence in peritoneal dialysis: general overviewQiong Bai0Wen Tang1Department of Nephrology, Peking University Third Hospital, Beijing, ChinaDepartment of Nephrology, Peking University Third Hospital, Beijing, ChinaObjective This article is a general overview about artificial intelligence/machine learning (AI/ML) algorithms in the domain of peritoneal dialysis (PD).Methods We searched studies that used AI/ML in PD, which were classified according to the type of algorithm and PD issue.Results Studies were divided into (a) predialytic stratification, (b) peritoneal technique issues, (c) infections, and (d) complications prediction. Most of the studies were observational and majority of them were reported after 2010.Conclusions There is a number of studies proved that AI/ML algorithms can predict better than conventional statistical method and even nephrologists. However, the soundness of AI/ML algorithms in PD still requires large databases and interpretation by clinical experts. In the future, we hope that AI will facilitate the management of PD patients, thus increasing the quality of life and survival.https://www.tandfonline.com/doi/10.1080/0886022X.2022.2064304Artificial intelligenceperitoneal dialysismachine learning
spellingShingle Qiong Bai
Wen Tang
Artificial intelligence in peritoneal dialysis: general overview
Renal Failure
Artificial intelligence
peritoneal dialysis
machine learning
title Artificial intelligence in peritoneal dialysis: general overview
title_full Artificial intelligence in peritoneal dialysis: general overview
title_fullStr Artificial intelligence in peritoneal dialysis: general overview
title_full_unstemmed Artificial intelligence in peritoneal dialysis: general overview
title_short Artificial intelligence in peritoneal dialysis: general overview
title_sort artificial intelligence in peritoneal dialysis general overview
topic Artificial intelligence
peritoneal dialysis
machine learning
url https://www.tandfonline.com/doi/10.1080/0886022X.2022.2064304
work_keys_str_mv AT qiongbai artificialintelligenceinperitonealdialysisgeneraloverview
AT wentang artificialintelligenceinperitonealdialysisgeneraloverview