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CLINICAL_TRIALS ClinicalTrials.gov record update

Artificial Intelligence in New Cardiac MR Markers for Congenital Heart Disease -Improving the Assessment, Monitoring and Prediction in Children

This page presents selected fields from the linked source record. It does not add a medical interpretation.

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Record identity and dates

Source
ClinicalTrials.gov
Source record ID
NCT05979870
Title field or adapter rule
protocolSection.identificationModule.officialTitle
Ingested At
2026-04-25T22:27:48.328364+00:00
Published At
2025-05-15T00:00:00+00:00
Record Updated At
2025-05-15
Timestamp Basis
source retrieval time was not retained by the feed adapter
Date limitation
source retrieval time was not retained by the feed adapter

Fields recorded by this source

protocolSection.conditionsModule.conditions
["Aortic Valve Disease", "Pulmonary Valve Disease", "Child, Only", "Magnetic Resonance Imaging", "Risk Stratification"]
protocolSection.statusModule.lastUpdatePostDateStruct.date
"2025-05-15"
protocolSection.identificationModule.nctId
"NCT05979870"
protocolSection.identificationModule.officialTitle
"Artificial Intelligence in New Cardiac MR Markers for Congenital Heart Disease -Improving the Assessment, Monitoring and Prediction in Children"
protocolSection.statusModule.overallStatus
"ENROLLING_BY_INVITATION"
protocolSection.designModule.phases
[]
protocolSection.statusModule.resultsFirstPostDateStruct.date
""

Study condition terms

  • Aortic Valve Disease (protocolSection.conditionsModule.conditions)
  • Pulmonary Valve Disease (protocolSection.conditionsModule.conditions)
  • Child, Only (protocolSection.conditionsModule.conditions)
  • Magnetic Resonance Imaging (protocolSection.conditionsModule.conditions)
  • Risk Stratification (protocolSection.conditionsModule.conditions)

Intervention details are not present in the imported fields for this record. No drug-condition relationship is inferred from co-listing.

This index keeps the source fields it imported; it may not contain the complete original record. Verify wording and context in the linked source.