Machine Learning and 3D Image-based Modeling for Body Weight Estimation.
NCT06281938 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 320
Last updated 2025-06-06
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.
Conditions
- No Specific Conditions
- Weight, Body
- Drug Dose
- Weight-Estimation
Interventions
- OTHER
-
Weight estimation using 3D camera
Total body weight, ideal body weight and lean body weight estimates will be obtained using a 3D camera system. This weight will be used for calculation of weight-based drug doses and other weight-based interventions.
- OTHER
-
Standard care weight estimation
Standard care (unspecified) will be used to determine weight-based dosing and other management.
Sponsors & Collaborators
-
Florida Atlantic University
lead OTHER
Principal Investigators
-
Mike Wells, MD, PhD · Research Professor
Study Design
- Allocation
- RANDOMIZED
- Purpose
- OTHER
- Masking
- DOUBLE
- Model
- PARALLEL
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2026-06-30
- Primary Completion
- 2027-06-30
- Completion
- 2027-09-30
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