Journal of Medical Internet Research

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Correction: Improving the Robustness and Clinical Applicability of Automatic Respiratory Sound Classification Using Deep Learning–Based Audio Enhancement: Algorithm Development and Validation

The fourth author’s name has been corrected from: Chu-Hsiang Huang to: Chun-Hsiang Huang Additionally, the affiliation of authors Chun-Hsiang Huang, Chi-Hsin Chen, and Cheng-Yi Fan has been updated from: 3 Department of Emergency Medicine, National Taiwan University Hsin-Chu Hospital, Hsinchu, Taiwan to: 3 Department of Emergency Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsinchu, Taiwan Edward Pei-Chuan Huang’s affiliation has also been updated from: 3 Department of Emergency Medicine, National

Jing-Tong Tzeng, Jeng-Lin Li, Huan-Yu Chen, Chun-Hsiang Huang, Chi-Hsin Chen, Cheng-Yi Fan, Edward Pei-Chuan Huang, Chi-Chun Lee

JMIR AI 2025;4:e76150

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Evaluating the Effectiveness of Community-Delivered Hearing Rehabilitation and Health Education Intervention on Social Isolation and Functioning Among Chinese Adults With Hearing Impairment: Protocol for Randomized Controlled Trial

Jiamin Gao, Yuying Zhang, Xiaqing Jiang, Zhenjing Fu, Haochen Jiang

JMIR Res Protoc 2025;14:e64115

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Explainable Machine Learning Model for Predicting Persistent Sepsis-Associated Acute Kidney Injury: Development and Validation Study

The study by Jiang et al [27] used an ML method to build a predictive model, but they did not target patients with sepsis, and the model was not externally validated. In our study, we developed an interpretable ML model in 4 retrospective cohorts and 1 prospective cohort, aimed at early and accurate prediction of persistent sepsis-associated AKI.

Wei Jiang, Yaosheng Zhang, Jiayi Weng, Lin Song, Siqi Liu, Xianghui Li, Shiqi Xu, Keran Shi, Luanluan Li, Chuanqing Zhang, Jing Wang, Quan Yuan, Yongwei Zhang, Jun Shao, Jiangquan Yu, Ruiqiang Zheng