Algorithm development through artificial intelligence for the triage of stroke patients in the ambulance with electroencephalography

Algorithm development through artificial intelligence for the triage of stroke patients in the ambulance with electroencephalography - AI-STROKE

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

NL-OMON

Registry ID

NL-OMON52101

Enrollment

1192

Registered

2021-06-15

Start date

2022-06-19

Completion date

Unknown

Last updated

2025-09-01

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

cerebral infarction Stroke

Interventions

None listed

Eligibility

Age

18 Years to 99 Years

Inclusion criteria

Inclusion criteria: - Suspected acute ischemic stroke, as assessed by the attending ambulance paramedic, or patients with a known LVO stroke who are transferred for EVT; - Onset of symptoms or, if onset not witnessed, last seen well

Exclusion criteria

Exclusion criteria: - Injury or active infection of electrode cap placement area. - Suspected COVID-19 infection.

Design outcomes

Primary

Measure	Time frame
Based on the EEG data, and using the final diagnosis established by an adjudication committee as the gold standard, one or more novel AI-based EEG algorithms will be developed with maximal diagnostic accuracy to identify patients with an LVO stroke of the anterior circulation in a population of patients with suspected AIS.	—

Secondary

Measure	Time frame
- AUC, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of the AI-STROKE algorithms based on ambulant EEG for diagnosis of LVO of the anterior circulation in suspected AIS patients in the prehospital setting; - AUC, sensitivity, specificity, PPV and NPV of existing EEG algorithms based on ambulant EEG for diagnosis of LVO of the anterior circulation in suspected AIS patients in the prehospital setting; - AUC, sensitivity, specificity, PPV and NPV of existing and newly developed EEG algorithms based on ambulant EEG for detection of LVO stroke of the posterior circulation, intracerebral hemorrhage, transient ischemic attack, and stroke mimics; - Technical and logistical feasibility (e.g. in terms of EEG channel reliability) of paramedics performing ambulant EEG in patients with a suspected AIS in the prehospital setting;	—

Measure

Time frame

- AUC, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of the AI-STROKE algorithms based on ambulant EEG for diagnosis of LVO of the anterior circulation in suspected AIS patients in the prehospital setting; - AUC, sensitivity, specificity, PPV and NPV of existing EEG algorithms based on ambulant EEG for diagnosis of LVO of the anterior circulation in suspected AIS patients in the prehospital setting; - AUC, sensitivity, specificity, PPV and NPV of existing and newly developed EEG algorithms based on ambulant EEG for detection of LVO stroke of the posterior circulation, intracerebral hemorrhage, transient ischemic attack, and stroke mimics; - Technical and logistical feasibility (e.g. in terms of EEG channel reliability) of paramedics performing ambulant EEG in patients with a suspected AIS in the prehospital setting;

—

Countries

Netherlands

Outcome results