A Clinical Trial With a Self-controlled, Multicenter, Pediatric EEG Intelligent Analysis System to Assist in Diagnosis

Launched by KUNMING CHILDREN'S HOSPITAL · Apr 6, 2025

Keywords

ClinConnect Summary

This clinical trial is studying a new system that uses artificial intelligence (AI) to help doctors diagnose pediatric epilepsy in children under 18 years old. The goal is to see how accurately this technology can analyze EEG (electroencephalogram) data, which records electrical activity in the brain, to assist in identifying signs of epilepsy. While the trial is not yet recruiting participants, it aims to help children who are suspected of having epilepsy by providing doctors with better tools for diagnosis.

To participate in this study, children must be under 18 and have symptoms that suggest they might have epilepsy. However, children with other serious neurological or mental health conditions, or those who have taken certain medications that could affect EEG results within the past three weeks, will not be eligible. Participants can expect to undergo EEG monitoring, where their brain activity will be recorded to gather data for the AI system. This trial could ultimately lead to improved diagnosis and care for children with epilepsy.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • Age \< 18 years old
• • Children with suspected epilepsy
• Exclusion Criteria:
• • During EEG monitoring, the patients had other serious neurological diseases and mental diseases concurrently
• • Used medication that affect EEG data within 3 weeks, such as sedatives and anti-epileptic medications
• • Substandard data quality, such as data lack of key records, electrode connection discontinuity, insufficient recording time, or the presence of serious artifacts
• • Incomplete or missing data
• • Equipment or operational abnormalities, data for which EEG monitoring has not been performed continuously