Artificial Intelligence and Its Future Impact on Peritoneal Dialysis

Artificial intelligence (AI) has become commonplace in our everyday lives and in healthcare. Peritoneal dialysis (PD) is a cost-effective method of treatment for kidney failure that is preferred by many patients, but its uptake is limited by several barriers. With the rapid advancements in AI, researchers are developing new tools that could mitigate some of these barriers to promote uptake and improve patient outcomes. AI has the capacity to assist with patient selection and management, predict patient technique failure, predict patient outcomes, and improve accessibility of patient education. Patients already have access to some open-source AI tools, and others are being rapidly developed for implementation in the dialysis space. For ethical implementation, it is essential for providers to understand the advantages and limitations of AI-based approaches and be able to interpret the common metrics used to evaluate their performance. In this review, we provide a general overview of AI with information necessary for clinicians to critically evaluate AI models and tools. We then review existing AI models and tools for PD.

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Publication Details

Journal
Kidney and Dialysis
Published
2025-05-14
DOI
https://doi.org/10.3390/kidneydial5020020
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.65

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article

Artificial Intelligence and Its Future Impact on Peritoneal Dialysis

Hailey Yetman, Lili Chan
1 citations
Kidney and Dialysis
Artificial Intelligence in Healthcare and Education
0.65
article

Artificial Intelligence and Its Future Impact on Peritoneal Dialysis

Hailey Yetman, Lili Chan
article en
1 citations

Abstract

Artificial intelligence (AI) has become commonplace in our everyday lives and in healthcare. Peritoneal dialysis (PD) is a cost-effective method of treatment for kidney failure that is preferred by many patients, but its uptake is limited by several barriers. With the rapid advancements in AI, researchers are developing new tools that could mitigate some of these barriers to promote uptake and improve patient outcomes. AI has the capacity to assist with patient selection and management, predict patient technique failure, predict patient outcomes, and improve accessibility of patient education. Patients already have access to some open-source AI tools, and others are being rapidly developed for implementation in the dialysis space. For ethical implementation, it is essential for providers to understand the advantages and limitations of AI-based approaches and be able to interpret the common metrics used to evaluate their performance. In this review, we provide a general overview of AI with information necessary for clinicians to critically evaluate AI models and tools. We then review existing AI models and tools for PD.

Kidney and DialysisVol. 5(2)
Murphy Oil Corporation (United States) (US), Icahn School of Medicine at Mount Sinai (US)
National Institute of Diabetes and Digestive and Kidney Diseases
Openalex Percentile: Top 25%
Artificial Intelligence in Healthcare and Education
0.65
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Artificial Intelligence and Its Future Impact on Peritoneal Dialysis — Hailey Yetman, Lili Chan · Kidney and Dialysis (2025) | TGRS Research Map | TGRS