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A diagnostic accuracy study on Artificial intelligence EEG analysis system assisted doctors to diagnose pediatric epilepsy.
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| AI EEG analysis system | Diagnostic Test | The first stage, physicians independently diagnose pediatric epilepsy with EEG; the second stage, Artificial intelligence EEG analysis system assisted physicians to diagnose pediatric epilepsy |
| Measure | Description | Time Frame |
|---|---|---|
| To evaluate the coincidence rate between doctors' independent diagnosis and the diagnosis recommended by the AI system. | The reference standard is the EGG interpreted by 3 clinicians who had attended the uniformly training program and had more than 5 years of experience in diagnosing epilepsy in children. | Within 48 hours after the completion of EEG monitoring |
| Measure | Description | Time Frame |
|---|---|---|
| To evaluate the diagnostic efficiency of clinicians at two-stage | The time taken by physicians to interpret EEG independently and with the aid of AI was measured. | Immediately after the end of EEG interpretation |
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Inclusion Criteria:
Exclusion Criteria:
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children aged < 18 years old with suspected epilepsy who need EEG examination
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