CLINICAL_TRIALS
ClinicalTrials.gov record update
Prediction of Occult Peritoneal Metastasis of Locally Advanced Gastric Cancer Using Multimodal Data Based on Artificial Intelligence Combined With Intraoperative Dynamic Video
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
- NCT06478368
- Title field or adapter rule
- protocolSection.identificationModule.officialTitle
- Ingested At
- 2026-04-25T22:27:29.817280+00:00
- Published At
- 2025-08-06T00:00:00+00:00
- Record Updated At
- 2025-08-06
- 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
["This Study Uses AI and Multimodal Data to Noninvasively Detect Occult Peritoneal Metastasis"]- protocolSection.statusModule.lastUpdatePostDateStruct.date
"2025-08-06"- protocolSection.identificationModule.nctId
"NCT06478368"- protocolSection.identificationModule.officialTitle
"Prediction of Occult Peritoneal Metastasis of Locally Advanced Gastric Cancer Using Multimodal Data Based on Artificial Intelligence Combined With Intraoperative Dynamic Video"- protocolSection.statusModule.overallStatus
"COMPLETED"- protocolSection.designModule.phases
[]- protocolSection.statusModule.resultsFirstPostDateStruct.date
""
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.