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Cross-site transportability of an explainable artificial intelligence model for acute kidney injury prediction

Medicine and Health

Cross-site transportability of an explainable artificial intelligence model for acute kidney injury prediction

X. Song, A. S. L. Yu, et al.

This groundbreaking research by Xing Song and colleagues leverages artificial intelligence to predict acute kidney injury (AKI), revealing challenges in clinical adoption due to varying risk factors across different health systems. The findings not only highlight performance issues but also propose a novel method to enhance AI model transportability and adaptation in hospitals.

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