Actively Recruiting
Using Machine Learning and Biomarkers for Early Detection of Delayed Cerebral Ischemia
Led by Sahlgrenska University Hospital · Updated on 2026-01-12
1500
Participants Needed
1
Research Sites
521 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
The overall goal of this project is to determine if machine learning and analysis of neurospecific biomarkers can enable early detection of upcoming or ongoing cerebral ischaemia in patients suffering from subarachnoid haemorrhage with altered consciousness due to cerebral injury or sedation. Analyses of heart rate variability, electroencephalgraphy,nearinfrared spectroscopy, cerebral autoregulation, and brain injury specific biomarkers in blood and cerebrospinal fluid will be performed.
CONDITIONS
Official Title
Using Machine Learning and Biomarkers for Early Detection of Delayed Cerebral Ischemia
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Patients over the age of 18 with aneurysmal subarachnoid hemorrhage admitted to intensive care units at Sahlgrenska University hospital.
You will not qualify if you...
- Unable to consent
- Cardiac arrhythmia
- Previous brain damage
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Sahlgrenska University Hospital
Gothenburg, Sweden, 41345
Actively Recruiting
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
2
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