CLINICAL_TRIALS ClinicalTrials.gov record update

A Single-center, Retrospective, Pivotal Study to Evaluate the Efficacy of Artificial Intelligence-based Computer Aided Diagnosis Software That Assists in Determining Whether or Not to Conduct Amyloid PET for the Diagnosis of Alzheimer's Disease by Predicting Amyloid PET Positivity Using MR Brain Images(Including T1 Weighted MRI and T2 FLAIR MRI) and Clinical Information (Age, Sex, APOE(apolipoproteinE) Genotype) in Mild Cognitive Impairment Patients

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Record identity and dates

Source: ClinicalTrials.gov
Source record ID: NCT05383053
Title field or adapter rule: protocolSection.identificationModule.officialTitle
Ingested At: 2026-04-28T10:38:59.680295+00:00
Published At: 2022-09-16T00:00:00+00:00
Record Updated At: 2022-09-16
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: ["Alzheimer Disease", "Mild Cognitive Impairment"]
protocolSection.statusModule.lastUpdatePostDateStruct.date: "2022-09-16"
protocolSection.identificationModule.nctId: "NCT05383053"
protocolSection.identificationModule.officialTitle: "A Single-center, Retrospective, Pivotal Study to Evaluate the Efficacy of Artificial Intelligence-based Computer Aided Diagnosis Software That Assists in Determining Whether or Not to Conduct Amyloid PET for the Diagnosis of Alzheimer\u0027s Disease by Predicting Amyloid PET Positivity Using MR Brain Images(Including T1 Weighted MRI and T2 FLAIR MRI) and Clinical Information (Age, Sex, APOE(apolipoproteinE) Genotype) in Mild Cognitive Impairment Patients"
protocolSection.statusModule.overallStatus: "COMPLETED"
protocolSection.designModule.phases: []
protocolSection.statusModule.resultsFirstPostDateStruct.date: ""

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