Toward neuroimaging-based diagnostic support: a deep learning approach with a closed-loop system for psychiatric classification

作者：Qingfeng Li, Wengzheng Wang, Qian Guo, Lijuan Jiang, Kaini Qiao, Yang Hu, Xiaochen Zhang, Zhen Wang, Daihui Peng, Qing Fan, Min Zhao, Yiru Fang, Jijun Wang, Hong Qiu, Jinhong Wang, Guanjun Li, Jianhua Sheng, Yingying Tang, Cheng Jin, Dinggang Shen, Margaret Niznikiewicz, Chunbo Li, Zhi Yang · 发表于：iScience · 年份：2025 · DOI：10.1016/j.isci.2025.114100 · 被引用次数：1 · 研究领域：Functional Brain Connectivity Studies、EEG and Brain-Computer Interfaces、Machine Learning in Healthcare

= 344). The model demonstrated robust performance, showing promise in real-world evaluations by reflecting complex presentations such as comorbidities. A key contribution is the implementation and deployment of a closed-loop, neuroimaging-based diagnostic support system integrating the PHN into an active clinical workflow. This work provides a tangible step toward bridging the research-to-practice gap, leveraging artificial intelligence to provide objective support for psychiatric diagnosis.