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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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A Deep Learning Model for Identifying the Risk of Mesenteric Malperfusion in Acute Aortic Dissection Using Initial Diagnostic Data: Algorithm Development and Validation

Zhechuan Jin, Jiale Dong, Chengxiang Li, Yi Jiang, Jian Yang, Lei Xu, Ping Li, Zhun Xie, Yulin Li, Dongjin Wang, Zhili Ji

J Med Internet Res 2025;27:e72649

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Insight inTo Stress and POOping on Work TIME (ITS POO TIME): Protocol for a Web-Based, Cross-Sectional Study

Phillip John Tully, Suzanne Cosh, Gary Wittert, Sean Martin, Andrew Vincent, Antonina Mikocka-Walus, Deborah Turnbull

JMIR Res Protoc 2025;14:e58655

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Developing an Intelligent Mobile Clinic—A Medical Vehicle for Improve Access to Healthcare in Remote Areas: Evidence From China

Xinlei Chen, Xufang Huang, Yimiao Xu, Jiabin Xu, Yanan Wang, Xinyue Ren, Xuebo Zhu, Xiaoge Xie, Yeqin Yang

JMIR Med Inform 2025;13:e59103

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Feasibility and Cultural Adaptation of a Community-Engaged Physical Activity Intervention for Hispanic Older Adults: Pilot Study

The enrollment rate was defined as the number of enrolled participants divided by the number of prescreened participants x 100. Completion rate was defined as the number of participants who completed the intervention divided by the number of participants who enrolled in the intervention x 100.

Zvinka Z Zlatar, Mikael Anne Greenwood-Hickman, Lazaro N Martinez Lujan, Julie Cooper, Stefani Florez-Acevedo, David X Marquez, Rosa Gutierrez Aceves, Andrea Paula Vargas, Dori E Rosenberg