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Weight-Estimation clinical trials

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NCT ID: NCT06281938 Not yet recruiting - Weight, Body Clinical Trials

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

Start date: June 2026
Phase: N/A
Study type: Interventional

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.

NCT ID: NCT02930928 Completed - Weight-Estimation Clinical Trials

Can Habitus Adapted Length Based Body Weight Estimation be Improved by Adding Further Parameters?

Including MUC
Start date: October 2016
Phase:
Study type: Observational

The purpose of this prospective single center study is to investigate if the accuracy of length based body weight estimation by the already investigated algorithm (CLAWAR) can be improved by adding another parameter. For this study 500 patients are required to collect anonymized data (length, weight, age, mid upperarm circumference and patient habitus by visual estimation) for achieving a power of 80% during statistical analysis. The main hypothesis ist that CLAWAR's accuracy can be improved.

NCT ID: NCT02620540 Completed - Weight-Estimation Clinical Trials

Evaluation of an Algorithm for Length Based Weight Estimation in Comparison to Known Devices

Start date: November 2015
Phase:
Study type: Observational

The purpose of this prospective single center study is to investigate if a developed algorithm is more accurate than the Broselow Tape (BT). For this study 500 patients are required to collect anonymized data (length, weight, age, anaesthesia material used during anaesthesia) for achieving a power of 80% during statistical analysis. The main hypothesis ist that the algorithm has a better accuracy than the BT.