Machine Learning and 3D Image-Based Modeling for Real-Time Body Weight and Body Composition Estimation During Emergency Medical Care. Study 3

Plain-language summary

The goal of this randomized controlled clinical trial is to compare standard methods of weight estimation and drug dose calculations against weight estimates and dose calculations using a 3D camera weight estimation system 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.

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Trial details