Transparent Artificial Intelligence-enabled Interpretable and Interactive Sleep Apnea Assessment across Flexible Monitoring Scenarios

Published in Nature Communications, 2025

Abstract

This work develops transparent artificial intelligence methods for interpretable and interactive sleep apnea assessment across flexible monitoring scenarios.

Recommended citation: Shuaicong Hu, Jian Liu, Yanan Wang, Cong Fu, Jichu Zhu, Huan Yu, and Cuiwei Yang. "Transparent artificial intelligence-enabled interpretable and interactive sleep apnea assessment across flexible monitoring scenarios." Nature Communications (2025). DOI: 10.1038/s41467-025-62864-x.
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