A deep learning system to support decisions in hemorrhagic stroke care
Tests a computer model that supports decisions for people with hemorrhagic stroke.
Plain-language title generated from the registry record
Registry title: Hemorrhage Stroke Decision Making Model Based Deep Learning (BrainHemoAI System)
Key facts
- Where
- Nanchang, ChinaSee the site
Where in China
- The Second Affiliated Hospital of Nanchang UniversityNanchang, ChinaTaking people
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- Second Affiliated Hospital of Nanchang University
- Trial code
- NCT07570680
- Record updated
- 6 May 2026
- Original description
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.Read full original descriptionShow less
Construction of an Integrated Intelligent Model for Spontaneous Intracerebral Hemorrhage Based on Deep Learning
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.
Inclusion: Age >= 8 years old; Patients diagnosed with spontaneous hemorrhagic stroke based on medical history and auxiliary examinations; Received non-contrast computed tomography (NCCT) in the outpatient or emergency department; Treated in accordance with standard clinical guidelines during hospitalization; Have complete clinical data.
Exclusion: Had undergone surgical treatment in another hospital before admission; Had severe heart, liver, or kidney dysfunction or other life-threatening systemic diseases; Was in a state of shock upon admission; Died during hospitalization; Had an expected lifespan of less than six months or was unable to complete the study follow-up for other reasons.