CLINICAL_TRIALS ClinicalTrials.gov record update

Screening And Detecting Eye Diseases With Hybrid Deep Learning Algorithms From Fundus Images And Validation Of Automated Artificial Intelligence Algorithm

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Record identity and dates

Source: ClinicalTrials.gov
Source record ID: NCT06213896
Title field or adapter rule: protocolSection.identificationModule.officialTitle
Ingested At: 2026-04-25T22:26:32.212953+00:00
Published At: 2024-05-14T00:00:00+00:00
Record Updated At: 2024-05-14
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: ["Glaucoma", "Age-Related Macular Degeneration", "Retinal Vein Occlusion", "Diabetic Retinopathy", "Diabetic Macular Edema", "Eye Diseases"]
protocolSection.statusModule.lastUpdatePostDateStruct.date: "2024-05-14"
protocolSection.identificationModule.nctId: "NCT06213896"
protocolSection.identificationModule.officialTitle: "Screening And Detecting Eye Diseases With Hybrid Deep Learning Algorithms From Fundus Images And Validation Of Automated Artificial Intelligence Algorithm"
protocolSection.statusModule.overallStatus: "COMPLETED"
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.

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