Detection of Cerebral Ischemia With Artificial Intelligence.

Brief summary (registry, in English)

In patients undergoing planned surgery for carotid tromendarterendectomy, a non-invasive device that registers heart rate variability is attached. Furthermore a non-invasive device that monitors cerebral oxygenation- near infrared spectroscopy as well as electroencephalography is also attached. At times when surgeons clamps the carotid artery, there will be a moment with controlled cerebral ischemia. This will be registered by the devices. The information obtained will be used to teach artificial intelligence what patterns are related to cerebral ischemia. The same procedure will be performed in patients undergoing ocklusive cerebral trombectomy, so the artificial intelligence will learn to recognize cerebral reperfusion.Blood samples will be drawn before and after cerebral ischemia may occur and will be analyzed for neurobiomarkers and cardiac biomarkers. To teach the algorithm patterns from anaesthesia and surgery in patients without pre existing neuronal injury, the same method will be applied to patients undergoing mixed abdominal surgery. This group will provide a better knowledge of neuro biomarker patterns during anesthesia and surgery.

What you commit to

• Study type: Observational
• Participants enrolled: 60
• From 1 Oct 2020 to the primary completion date, 31 Dec 2024
• 1 site in 1 country
• Visits and tests: ask the trial team, the registry does not list them

Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.

Who cannot take part

Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.

Who the study is looking for

Age in the registry: 18 years to 100 years · Sex: All · Does not accept healthy volunteers

Full criteria on ClinicalTrials.gov

Sites (1)

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