CLINICAL_TRIALS ClinicalTrials.gov record update

Impact of Generative Artificial Intelligence on Diagnosing Rheumatoid Arthritis Complications

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Record identity and dates

Source: ClinicalTrials.gov
Source record ID: NCT07301892
Title field or adapter rule: {'original_value': 'Impact of Generative Artificial Intelligence on Diagnosing Rheumatoid Arthritis Complications', 'source_field': 'protocolSection.identificationModule.officialTitle'}
Ingested At: 2026-10-31T23:27:34.009271+00:00
Published At: 2026-10-26T00:00:00+00:00
Record Updated At: 2026-10-26
Source Retrieved At: 2026-10-31T22:18:41.628690+00:00
Timestamp Basis: ClinicalTrials.gov API/RSS response retrieval timestamp recorded by Dossier adapter
Date limitation: ClinicalTrials.gov API/RSS response retrieval timestamp recorded by Dossier adapter

protocolSection.conditionsModule.conditions: ["Rheumatoid Arthritis (RA", "Osteoporosis", "Osteoarthritis", "Interstitial Lung Disease", "Thyroid Diseases", "Cardiovascular Diseases", "Pulmonary Complications", "Sjogren\u0027s Syndrome", "Liver Disorders", "Renal Lesions", "Vasculitis", "Amyloidosis", "Peripheral Neuropathy", "Thrombosis", "RA Complications"]
protocolSection.statusModule.lastUpdatePostDateStruct: {"date": "2026-10-26", "type": "ACTUAL"}
protocolSection.identificationModule.nctId: "NCT07301892"
protocolSection.identificationModule.officialTitle: "Impact of Generative Artificial Intelligence on Diagnosing Rheumatoid Arthritis Complications"
protocolSection.statusModule.overallStatus: "COMPLETED"
protocolSection.designModule.phases: null
protocolSection.statusModule.resultsFirstPostDateStruct: null

{'armGroupLabels': ['RA patient group using generative AI prediction reports'], 'description': 'Generative AI based on multiple large language models (LLMs) is used to predict potential complications and co-existing diseases in patients with rheumatoid arthritis using EHR data available at admission. Physicians use these AI predictions as additional information to adjust their diagnostic plans during differential diagnosis. The impact of this intervention on the final diagnoses at discharge will be measured.\n\nBefore the prospective study, the adoptability of the generative AI prediction reports will be validated using EHR records from retrospective RA patients.', 'name': 'Generative AI prediction report for RA complications', 'type': 'OTHER'} (protocolSection.armsInterventionsModule.interventions[])

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