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Visual Learning in Electrocardiography Training for Medical Residents: Comparative Intervention Study

Heng-You Sung, Feng-Ching Liao, Shu-I Lin, Han-En Cheng, Chun-Wei Lee

JMIR Med Educ 2025;11:e73328

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Mental Health Issues and 24-Hour Movement Guidelines–Based Intervention Strategies for University Students With High-Risk Social Network Addiction: Cross-Sectional Study Using a Machine Learning Approach

Lin Luo, Junfeng Yuan, Chen Xu, Huilin Xu, Haojie Tan, Yinhao Shi, Haiping Zhang, Haijun Xi

J Med Internet Res 2025;27:e72260

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Knowledge Graph–Enhanced Deep Learning Model (H-SYSTEM) for Hypertensive Intracerebral Hemorrhage: Model Development and Validation

Yulong Xia, Jie Li, Bo Deng, Qilin Huang, Fenglin Cai, Yanfeng Xie, Xiaochuan Sun, Quanhong Shi, Wei Dan, Yan Zhan, Li Jiang

J Med Internet Res 2025;27:e66055

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The Effectiveness of Computerized Cognitive Training in Patients With Poststroke Cognitive Impairment: Systematic Review and Meta-Analysis

For instance, Lin et al [38] used resting-state functional magnetic resonance imaging to examine the impact of CCT on patients with poststroke cognitive impairment. Their findings indicated an enhancement in functional connectivity between the hippocampus and the frontal and parietal regions following a 10-week training regimen.

Min Gao, Lu Huang, Jiang Yi, Tianqi Zhang, Guangyao Zhu, Qi Zhang, Jiaxiao Tian, Rongxuan Zhao, Xiaoqin Duan, Zhongliang Liu