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

Recruitingn/aAges 8 Years - anyAllSecond Affiliated Hospital of Nanchang University
NCT07570680 on ClinicalTrials.gov ↗
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In plain words

What the trial is, and whether it could suit you

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 mortal

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📋 Eligibility rules (as published)
Inclusion Criteria: 1. Age \>= 8 years old; 2. Patients diagnosed with spontaneous hemorrhagic stroke based on medical history and auxiliary examinations; 3. Received non-contrast computed tomography (NCCT) in the outpatient or emergency department; 4. Treated in accordance with standard clinical guidelines during hospitalization; 5. Have complete clinical data. Exclusion Criteria: 1. Had undergone surgical treatment in another hospital before admission; 2. Was in a state of shock upon admission; 3. Had severe heart, liver, or kidney dysfunction or other life-threatening systemic diseases; 4. Died during hospitalization; 5. Had an expected lifespan of less than six months or was unable to complete the study follow-up for other reasons.
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What it tests

  • Large language model
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Where

1 site
The Second Affiliated Hospital of Nanchang University
Nanchang, China
🤝 Taking part is your choice, and you can leave at any time. Only the trial team can confirm you are eligible — always decide together with your own doctor.
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