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CLINICAL_TRIALS ClinicalTrials.gov record update

Diagnostic Efficacy of Deep Neural Network Algorithm Based on Preoperative Scheimpflug-based Anterior Segment Image for Implantable Collamer Lens Selection and Prediction

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Record identity and dates

Source
ClinicalTrials.gov
Source record ID
NCT06669728
Title field or adapter rule
protocolSection.identificationModule.officialTitle
Ingested At
2026-04-25T22:29:02.936743+00:00
Published At
2026-04-24T00:00:00+00:00
Record Updated At
2026-04-24
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
["Posterior Chamber Phakic Intraocular Lens", "Vault", "Deep Neural Network", "Myopia", "Anterior Chamber Angle"]
protocolSection.statusModule.lastUpdatePostDateStruct.date
"2026-04-24"
protocolSection.identificationModule.nctId
"NCT06669728"
protocolSection.identificationModule.officialTitle
"Diagnostic Efficacy of Deep Neural Network Algorithm Based on Preoperative Scheimpflug-based Anterior Segment Image for Implantable Collamer Lens Selection and Prediction"
protocolSection.statusModule.overallStatus
"RECRUITING"
protocolSection.designModule.phases
[]
protocolSection.statusModule.resultsFirstPostDateStruct.date
""

Study condition terms

  • Posterior Chamber Phakic Intraocular Lens (protocolSection.conditionsModule.conditions)
  • Vault (protocolSection.conditionsModule.conditions)
  • Deep Neural Network (protocolSection.conditionsModule.conditions)
  • Myopia (protocolSection.conditionsModule.conditions)
  • Anterior Chamber Angle (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.