CLINICAL_TRIALS ClinicalTrials.gov record update

Performance Evaluation of Artificial Intelligence Assisted Diabetic Retinopathy Grading in the Leuven University Hospital: Can Technology Improve the Resident?

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: NCT05260281
Title field or adapter rule: protocolSection.identificationModule.officialTitle
Ingested At: 2026-04-28T10:38:47.011960+00:00
Published At: 2022-03-02T00:00:00+00:00
Record Updated At: 2022-03-02
Timestamp Basis: source retrieval time was not retained by the feed adapter
Date limitation: source retrieval time was not retained by the feed adapter

protocolSection.conditionsModule.conditions: ["To Evaluate the Added Value of the Use of Artificial Intelligence in the Diagnosis of Referable Diabetic Retinopathy in a Teaching Hospital Setting"]
protocolSection.statusModule.lastUpdatePostDateStruct.date: "2022-03-02"
protocolSection.identificationModule.nctId: "NCT05260281"
protocolSection.identificationModule.officialTitle: "Performance Evaluation of Artificial Intelligence Assisted Diabetic Retinopathy Grading in the Leuven University Hospital: Can Technology Improve the Resident?"
protocolSection.statusModule.overallStatus: "UNKNOWN"
protocolSection.designModule.phases: []
protocolSection.statusModule.resultsFirstPostDateStruct.date: ""

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.