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...
Main Authors: | , |
---|---|
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 |
_version_ | 1817991579847098368 |
---|---|
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. |
first_indexed | 2024-04-14T01:15:12Z |
format | Article |
id | doaj.art-a89737e3cc3c4cb095c320c403f7f8a7 |
institution | Directory Open Access Journal |
issn | 0886-022X 1525-6049 |
language | English |
last_indexed | 2024-04-14T01:15:12Z |
publishDate | 2022-12-01 |
publisher | Taylor & Francis Group |
record_format | Article |
series | Renal Failure |
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 |