CLINICAL_TRIALS ClinicalTrials.gov record update

Machine Learning and 3D Image-Based Modeling for Real-Time Body Weight and Body Composition Estimation During Emergency Medical Care. Study 3 - Measure the Accuracy of Weight Estimations by The 3D Camera System in Acutely Ill or Injured Emergency Department Patients and Compare This Accuracy Against That of Standard Care.

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Record identity and dates

Source: ClinicalTrials.gov
Source record ID: NCT06645548
Title field or adapter rule: protocolSection.identificationModule.officialTitle
Ingested At: 2026-04-25T22:28:46.461337+00:00
Published At: 2025-12-19T00:00:00+00:00
Record Updated At: 2025-12-19
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: ["Body Weights and Measures", "Body Weight in the Overweight and Obese Class - I Population", "Drug Dose", "Weight Estimate"]
protocolSection.statusModule.lastUpdatePostDateStruct.date: "2025-12-19"
protocolSection.identificationModule.nctId: "NCT06645548"
protocolSection.identificationModule.officialTitle: "Machine Learning and 3D Image-Based Modeling for Real-Time Body Weight and Body Composition Estimation During Emergency Medical Care. Study 3 - Measure the Accuracy of Weight Estimations by The 3D Camera System in Acutely Ill or Injured Emergency Department Patients and Compare This Accuracy Against That of Standard Care."
protocolSection.statusModule.overallStatus: "WITHDRAWN"
protocolSection.designModule.phases: ["NA"]
protocolSection.statusModule.resultsFirstPostDateStruct.date: ""

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