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Study identifier: NCT07570680 Synced from ClinicalTrials.gov · July 29, 2026
● Recruiting

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

Condition: Hemorrhage Stroke  ·  Sponsor: Second Affiliated Hospital of Nanchang University

PhaseN/A
Planned participants7100
Who can joinAll sexes, 8 Years to no upper limit
Healthy volunteersYes

About this study

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.

This description comes directly from the study's public registry record.

Talk to the study team

Xingen Zhu, Prof  ·  13803546020  ·  zxg2008vip@163.com

Ping Hu, PhD;MD  ·  13207109734  ·  hp666edu@163.com

Always discuss trial participation with your own doctor first.

Locations (1)

The Second Affiliated Hospital of Nanchang UniversityNanchang, ChinaRecruiting

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Source record: clinicaltrials.gov/study/NCT07570680