Clinical Diagnosis and Treatment of Intracerebral Hemorrhage Based on Artificial Intelligence

Clinical Diagnosis and Treatment of Intracerebral Hemorrhage Based on Artificial

The purpose of this study is to test the reliability and validity of an artificial intelligence system and a related 5-score scale to predict hematoma expansion, and conduct a study cohort of intracerebral hemorrhage to screen out imaging and biological markers that could predict hematoma expansion in real-world.

This is a investigator-initiated, multi-center, prospective, registered cohort study. The study is intended to enroll 4000 patients with intracerebral hemorrhage from 50 hospital in China. Clinical and imaging data, as well as the results of laboratory examination will be collected to test the reliability and validity of an artificial intelligence system and a related 5-score scale to predict hematoma expansion, and conduct a study cohort of intracerebral hemorrhage to screen out imaging and biological markers that could predict hematoma expansion in real-world.

Inclusion Criteria:

1. Diagnosis of spontaneous intracerebral hemorrhage(sICH)
2. Age ≥18;
3. Admission within 24 hours of symptom onset
4. CT available at 24 hours
5. Informed consent obtained

Exclusion Criteria:

1. Intracerebral hemorrhage caused by tumor, vascular malformation, aneurysm, etc.
2. Deep coma at admission (GCS≤8)
3. Intended to have a surgery within 24 hours
4. Congenital coagulation dysfunction
5. Previous intracerebral hematoma have not been absorbed