The Effect of AI-assisted cEEG Diagnosis on the Administration of Antiseizure Medication in Neonatal Seizures

  • End date
    Mar 10, 2024
  • participants needed
  • sponsor
    Children's Hospital of Fudan University
Updated on 24 April 2022


This is a prospective randomised clinical trial study to test an artificial intelligence (AI)-assisted continuous electroencephalogram(cEEG) diagnostic tool for optimizing the administration of antiseizure medication (ASM) in neonatal intensive care units(NICUs).


The occurrence of neonatal seizures may be the first, and perhaps the only, clinical sign of a central nervous system disorder in the newborn infant. The promoted treatment of seizures can limit the secondary injury to the brain and positively affect the infant's long-term neurological development. However, the current antiseizure medication (ASM) are both overused and underused. Studies indicated that early automated seizure detection tool had a high diagnostic accuracy of neonatal seizures. However, there is little evidence that early automated seizure detection tool could the optimize the administration of ASM and improved the neurological outcomes in neonatal seizures. Therefore, the primary study aim is to investigate whether the utility of AI assisted cEEG diagnostic tool could optimize the administration of ASM in NICUs.

This project will enroll the neonates with suspected or high risk of seizures who will receive at least 72 hours cEEG monitoring during hospitalization. All the cEEG monitoring methodology is standardized across recruiting hospitals.

The intervention will be an artificial intelligence (AI)-assisted continues electroencephalogram (cEEG) diagnostic tool.

The individuals were randomly allocated to one of the two groups using a predetermined randomisation sequence and block randomisation generator (block of 4). The group 1 will be monitored with cEEG and the cEEG recording will be assessed by neonatologists with AI assisted cEEG diagnostic tool in real time during cEEG monitoring. The group 2 will be monitored with cEEG and the cEEG recording will be assessed by neonatologists when as routine during cEEG monitoring. Both groups will follow the standard clinical protocols for ASM administration of the recruiting hospitals The reference standard is the electrographic seizures interpreted by 3 clinicians who had attended the uniformly training program and were certified by the Chinese Anti-Epilepsy Association. These 3 clinicians are blinded to the group allocation.

Condition Neonatal Seizure
Treatment The routine assessment protocol and AI-assisted cEEG Diagnostic tool, The routine assessment protocol
Clinical Study IdentifierNCT05036395
SponsorChildren's Hospital of Fudan University
Last Modified on24 April 2022


Yes No Not Sure

Inclusion Criteria

Postnatal age < or = 28 days
cEEG monitoring at least 24hours monitoring
Suspected seizures;
Abnormal movement
Brain infarction;
Risk of Intracranial hemorrhage
Abnormality of brain MRI or ultrasound
Hypoxic-ischemic encephalopathy or suspected Hypoxic-ischemic encephalopathy
Central nervous system (CNS) or systemic infections
Suspected genetic diseases or Positive genetic diagnoses

Exclusion Criteria

The neonates with head scalp defect, scalp hematoma, edema and other contraindications which are not suitable for cEEG monitoring during hospitalization
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