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cHS is a software that has been pre-learned based on a intracranial haemorrhage diagnosis model using brain CT images, and clinical decision support system for diagnosing intracranial haemorrhage by automatically analyzing brain CT images by assisting the medical team.
The specific aims of this study are to evaluate efficacy of cHS for intracranial haemorrhage compared to the sensitivity and specificity levels of predicate device which is currently approved to triage intracranial haemorrhage.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Abnormal | A patient diagnosed with intracranial haemorrhage after a brain CT scan |
| |
| Normal | A normal person or a patient not diagnosed with intracranial haemorrhage after a brain CT scan |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| cHS | Device | Clinical decision support system for diagnosing intracranial haemorrhage |
|
| Measure | Description | Time Frame |
|---|---|---|
| Sensitivity and specificity of cHS | Sensitivity and specificity of cHS in diagnosis of intracranial haemorrhage based on golden standards | Within 4 weeks after collecting data |
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Inclusion Criteria:
Exclusion Criteria:
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(1) Adults over 19 years old (2) Brain CT images acquired (3) who confirmed with intracranial haemorrhage(abnormal cohort) or not intracranial haemorrhage or normal(normal cohort)
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Gachon University Gil Medical Center | Incheon | Namdong-gu | 21565 | South Korea |
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| ID | Term |
|---|---|
| D020300 | Intracranial Hemorrhages |
| ID | Term |
|---|---|
| D002561 | Cerebrovascular Disorders |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
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| D014652 | Vascular Diseases |
| D002318 | Cardiovascular Diseases |
| D006470 | Hemorrhage |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |