Clinical Trial

Machine Learning and 3D Image-based Modeling for Body Weight Estimation.

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Summary
The goal of this randomized controlled clinical trial is to \[learn about, test, compare etc.\] in critically ill or injured cohorts of patients presenting to the Emergency Department. The main question\[s\] it aims to answer are: * Are weight estimates from a 3D camera system more accurate than standard methods of weight estimation? * Do patients who receive weight estimates with a 3D camera system have fewer drug dosing errors than patients receiving standard care? Participants will either receive a weight estimate using a 3D camera system, or standard methods of care. Researchers will compare the 3D camera group to those with standard care to see if the weight estimates are more accurate, to see if drug dosing is more accurate, and to compare the incidence of adverse events related to medications in each group.
Protocol Amendment History 2 amendments
This ClinicalTrials.gov record has been amended 2 times since 2024-02-21; most recent amendment 2025-06-05.
Trial Details
NCT Number NCT06281938
Lead Sponsor Florida Atlantic University
Conditions No Specific Conditions, Weight, Body, Drug Dose, Weight-Estimation
Enrollment 320 participants
Start Date 2026-06
Primary Completion 2027-06 (estimated)
Study Completion 2027-09 (estimated)
Updated on ClinicalTrials.gov 2025-06-06