Clinical trial
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.
NCT06645548 is registered in ClinicalTrials.gov with Florida Atlantic University as lead sponsor.
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Registry record
As filed in ClinicalTrials.gov.
- Title
- 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.
- Lead sponsor
- Florida Atlantic University
- Phase
- Not applicable
- Overall status
- Withdrawn
- Start date
- July 1, 2029
- Completion date
- July 1, 2030
- Enrollment
- 0 (actual)
- Sites
- Not reported
Conditions
As the registry lists them; a condition with its own page is linked.
body weight in the overweight and obese class - i population, body weights and measures, drug dose, weight estimate