Hemorrhage Stroke Decision Making Model Based Deep Learning (BrainHemoAI System)

Although hemorrhagic stroke also has the characteristics of high mortality and disability rates, and constitutes a major public health problem worldwide, there is a relative lack of in-depth research teams for hemorrhagic stroke in China. The current preoperative imaging evaluation of spontaneous cerebral hemorrhage is still limited to the traditional Tada formula, and there are subjective differences in diagnosis among different doctors, making it difficult to achieve homogenization in clinical decision-making. Hemorrhagic stroke is a common and frequently occurring disease in Jiangxi Province. Therefore, establishing a new diagnosis and treatment system focused on hemorrhagic stroke can not only fill the research gap in this field in China, improve the accuracy and homogeneity of hemorrhagic stroke diagnosis and treatment, but also promote related research progress to reduce the mortality and disability rates of this disease and improve the clinical prognosis of patients.

NCT Number	NCT07570680
Lead Sponsor	Second Affiliated Hospital of Nanchang University Collaborators: First Affiliated Hospital of Gannan Medical University, First Affiliated Hospital of Zhejiang University, Ganzhou City People's Hospital, The First People's Hospital of Xiushui, Jiujiang No.1 People's Hospital, Renmin Hospital of Wuhan University
Conditions	Hemorrhage Stroke
Enrollment	7,100 participants
Start Date	2022-09-01
Primary Completion	2026-08-01 (estimated)
Study Completion	2026-12-30 (estimated)
Updated on ClinicalTrials.gov	2026-05-06