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

Launched by FLORIDA ATLANTIC UNIVERSITY · Oct 15, 2024

Keywords

ClinConnect Summary

This clinical trial is exploring a new way to estimate a patient's weight and the correct amount of medication they need during emergencies. It compares traditional methods of estimating weight to a new system that uses a 3D camera. The researchers want to find out if the camera system gives more accurate weight estimates and helps reduce medication errors compared to standard practices. This is important because getting the right weight is crucial for administering the right drug doses, especially for critically ill or injured patients.

To participate, individuals must be patients in the Emergency Department who will need weight-based medication and are being admitted to the hospital. However, those who cannot give consent or whose treatment might be negatively affected by joining the study will not be included. Participants will be randomly assigned to either receive their weight estimates through the 3D camera system or through the standard methods. Throughout the trial, researchers will track how accurate the weight estimates are and whether the methods used lead to fewer medication mistakes or side effects.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • Any patient presenting to the Emergency Department of the study site, who will require any form of weight-based intravenous drug therapy, and who will be admitted to the hospital.
• Exclusion Criteria:
• • Patients who are unable to provide consent.
• • Patients whose medical treatment could be negatively impacted by participation in the study.