CLINICAL_TRIALS ClinicalTrials.gov record update

Investigate the Potential of Deep Learning in Assessing Pneumoconiosis Depicted on Digital Chest Radiographs and to Compare Its Performance With Certified Radiologists

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Record identity and dates

Source: ClinicalTrials.gov
Source record ID: NCT04963348
Title field or adapter rule: protocolSection.identificationModule.officialTitle
Ingested At: 2026-04-28T10:38:05.786479+00:00
Published At: 2021-07-15T00:00:00+00:00
Record Updated At: 2021-07-15
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: ["Pneumoconiosis"]
protocolSection.statusModule.lastUpdatePostDateStruct.date: "2021-07-15"
protocolSection.identificationModule.nctId: "NCT04963348"
protocolSection.identificationModule.officialTitle: "Investigate the Potential of Deep Learning in Assessing Pneumoconiosis Depicted on Digital Chest Radiographs and to Compare Its Performance With Certified Radiologists"
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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