CLINICAL_TRIALS
ClinicalTrials.gov record update
A CT-BASED Deep Learning Model for Predicting WHO/ISUP Pathological Grades of Clear Cell Renal Cell Carcinoma (ccRCC) :A Multicenter Cohort Study
This page presents selected fields from the linked source record. It does not add a medical interpretation.
Record identity and dates
- Source
- ClinicalTrials.gov
- Source record ID
- NCT06559046
- Title field or adapter rule
- protocolSection.identificationModule.officialTitle
- Ingested At
- 2026-04-25T22:26:16.922462+00:00
- Published At
- 2024-08-20T00:00:00+00:00
- Record Updated At
- 2024-08-20
- 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
["Tumor Grading", "Deep Learning", "Clear Cell Renal Cell Carcinoma"]- protocolSection.statusModule.lastUpdatePostDateStruct.date
"2024-08-20"- protocolSection.identificationModule.nctId
"NCT06559046"- protocolSection.identificationModule.officialTitle
"A CT-BASED Deep Learning Model for Predicting WHO/ISUP Pathological Grades of Clear Cell Renal Cell Carcinoma (ccRCC) :A Multicenter Cohort Study"- protocolSection.statusModule.overallStatus
"COMPLETED"- protocolSection.designModule.phases
[]- protocolSection.statusModule.resultsFirstPostDateStruct.date
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Study condition terms
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.