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May 18, 2026Saudi Medical Journal0 citationsOpen Access

Artificial Intelligence Applications in Dialysis for Managing Infections and Complications

Artificial Intelligence in Dialysis Therapies: Applications in Hemodialysis and Peritoneal Dialysis for Managing Infectious Diseases and Complications

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Authors

WMWaleed H. Mahallawi

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Overview

Narrative review explores AI's role in predicting infections and optimizing dialysis for patients, indicating potential benefits.

Key Points

  • The review aims to synthesize evidence on AI applications in managing infections and complications in hemodialysis and peritoneal dialysis.
  • Systematic literature search conducted from 2019 to 2025.
  • Discussion of AI models, including machine learning algorithms like XGBoost and deep neural networks.
  • Evaluation of AI's impact on diagnostics, prognostics, and therapeutics for dialysis patients.
  • AI demonstrates high accuracy in predicting bloodstream infections (AUC 0.914) and forecasting mortality (AUC 0.979).
  • Antibiotic stewardship via AI reduces inappropriate antibiotic use by 18-67%.
  • AI adjustments for ultrafiltration lower the incidence of intradialytic hypotension by 25-40%.
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Waleed H. Mahallawi (2026) studied this question.

synapsesocial.com/papers/6a0aad2a5ba8ef6d83b70b5dhttps://doi.org/10.15537/1658-3175.8783
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