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September 10, 2025Scientific ReportsOpen Access

An artificial intelligence model to predict mortality among hemodialysis patients: A retrospective validated cohort study

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Retrospective analysis predicts mortality risk in hemodialysis patients, highlighting AI's role in clinical decision-making.

The eXGBM model achieved an AUC of 0.979 for predicting one-year mortality in hemodialysis patients.
Of 559 patients, those in the model development cohort showed mortality rates of 2.68%, 15.38%, and 33.09% at one, four, and seven years.
The comprehensive scoring system rated the eXGBM model highly, outperforming others with a score of 46.
This AI model assists healthcare providers in timely interventions based on mortality risk data, improving patient outcomes.

Peng et al. (2025) studied this question.

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