NCT06646120

Withdrawn

Machine Learning and 3D Image-Based Modeling for Real-Time B...

Florida Atlantic University Source

ClinicalTrials.gov

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Other study identifiers

Sponsor study identifier

1791994(1)

Study Type

observational

Actual enrollment (reported)

0

Locations

0 countries

Sites

N/A

Timeline

Study Start

July 1, 2025

Actual (reported)

Primary Completion

June 30, 2026

Estimated (date passed)

This estimate has passed. The registry has not confirmed an actual date for this milestone.

Study Completion

June 30, 2026

Estimated (date passed)

This estimate has passed. The registry has not confirmed an actual date for this milestone.

Brief Summary

The goal of this observational study is to train and validate an AI-driven 3D camera system to estimate total body weight, ideal body weight and lean body weight in male and female adult volunteers of all ages. The main questions this study aims to answer are:

What degree of accuracy of weight estimation can we achieve with an AI-driven 3D camera weight estimation system?
Is this accuracy the same in adults of both sexes, all ages, and all body types (underweight, normal weight, overweight)? Participants will undergo some anthropometric measurements (height, mid-arm circumference, weight circumference, hip circumference, measured weight), a DXA scan (to measure lean body weight), and 3D imaging using a 3D camera. There will be no interventions.

Registry Overview

Registry-reported information. Elapsed time and enrollment totals alone do not measure study progress or recruitment pace.

Recruitment status: withdrawn
Actual enrollment (reported): 0 participants
Study completion date: June 30, 2026
Estimated (date passed)
This estimate has passed. The registry has not confirmed an actual date for this milestone.
Listed locations: 0 countries · 0 sites

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Dates and qualifiers reported by the registry. Estimated dates do not confirm that a milestone has occurred.

First Submitted
October 15, 2024
Actual (reported)
First Posted
October 17, 2024
Actual (reported)
Study Start
July 1, 2025
Actual (reported)
Primary Completion
June 30, 2026
Estimated (date passed)
This estimate has passed. The registry has not confirmed an actual date for this milestone.
Study Completion
June 30, 2026
Estimated (date passed)
This estimate has passed. The registry has not confirmed an actual date for this milestone.

Last Updated: December 19, 2025
Status Verified: December 2025
Last Update Submitted: December 15, 2025

Conditions

Body Weight in the Overweight and Obese Class - I Population Body Weights and Measures

Keywords

3D camera weight estimationcomputer vision weight estimation

Outcome Measures

Primary Outcomes (3)

TBW estimation
Accuracy of TBW estimation using 3D camera system
Baseline
IBW estimation
Accuracy of IBW estimation using 3D camera system
Baseline
LBW estimation
Accuracy of LBW estimation using 3D camera system
Baseline

Secondary Outcomes (3)

Sex-related accuracy
Baseline
Age-related accuracy
Baseline
BMI-related accuracy
Baseline

Eligibility Criteria

Age18 Years+

Sexall

Healthy VolunteersYes

Age GroupsAdult (18-64), Older Adult (65+)

Sampling MethodNon-Probability Sample

Study Population

Students, staff and faculty at the Boca Raton campus of Florida Atlantic University.

You may qualify if:

Any willing volunteer.

You may not qualify if:

Sponsors & Collaborators

Florida Atlantic University
Otherlead

Related Publications (7)

Sonar VG, Jan MT, Wells M, Pandya A, Engstrom G, Shih R, Furht B. Estimating Body Volume and Height Using 3D Data. arxiv. 2024 September; 2410.02800
BACKGROUND
Jan MT, Kumar A, Wells M, Pandya A, Engstrom G, Shih R, Furht B. Comprehensive Survey of Body Weight Estimation: Techniques, Datasets and Applications. Multimedia Tools and Applications. 2024 October
BACKGROUND
Wells M, Goldstein L. Appropriate Statistical Analysis and Data Reporting for Weight Estimation Studies. Pediatr Emerg Care. 2023 Jan 1;39(1):62-63. doi: 10.1097/PEC.0000000000002862. Epub 2022 Oct 1. No abstract available.
PMID: 36190388BACKGROUND

MeSH Terms

Conditions

Body Weight

Condition Hierarchy (Ancestors)

Signs and SymptomsPathological Conditions, Signs and Symptoms

Enrollment

0 participants (actual enrollment reported by the registry).

Study Design

Study Type: observational
Observational Model: OTHER
Time Perspective: CROSS SECTIONAL
Sponsor Type: OTHER
Responsible Party: SPONSOR

Study Record Dates

First Submitted

October 15, 2024

First Posted

October 17, 2024

Study Start

July 1, 2025

Actual (reported)

Completed

Participants with a body weight exceeding the DXA machine capacity \>204kg (450lbs);
Pregnant participants;
Participants with medical conditions that could confound the study;
Participants with any metallic surgical implants;
Participants who have had an x-ray with contrast in the past week;
Participants who have taken calcium supplements in the 24 hours prior to the study.

Contact the study team to confirm eligibility.

Wells M, Goldstein LN, Cattermole G. Development and Validation of a Length- and Habitus-Based Method of Ideal and Lean Body Weight Estimation for Adults Requiring Urgent Weight-Based Medical Intervention. Eur J Drug Metab Pharmacokinet. 2022 Nov;47(6):841-853. doi: 10.1007/s13318-022-00796-3. Epub 2022 Sep 19.

PMID: 36123560BACKGROUND

Wells M, Goldstein LN. Estimating Lean Body Weight in Adults With the PAWPER XL-MAC Tape Using Actual Measured Weight as an Input Variable. Cureus. 2022 Sep 17;14(9):e29278. doi: 10.7759/cureus.29278. eCollection 2022 Sep.

PMID: 36277563BACKGROUND

Wells M, Goldstein LN, Alter SM, Solano JJ, Engstrom G, Shih RD. The accuracy of total body weight estimation in adults - A systematic review and meta-analysis. Am J Emerg Med. 2024 Feb;76:123-135. doi: 10.1016/j.ajem.2023.11.037. Epub 2023 Nov 29.

PMID: 38056057BACKGROUND

Wells M, Goldstein LN, Wells T, Ghazi N, Pandya A, Furht B, Engstrom G, Jan MT, Shih R. Total body weight estimation by 3D camera systems: Potential high-tech solutions for emergency medicine applications? A scoping review. J Am Coll Emerg Physicians Open. 2024 Oct 4;5(5):e13320. doi: 10.1002/emp2.13320. eCollection 2024 Oct.

PMID: 39371964BACKGROUND

Primary Completion

June 30, 2026

Estimated (date passed)

This estimate has passed. The registry has not confirmed an actual date for this milestone.

Study Completion

June 30, 2026

Estimated (date passed)

This estimate has passed. The registry has not confirmed an actual date for this milestone.

Last Updated

December 19, 2025

Record last verified: 2025-12

Data Sharing

IPD Sharing: Will share

Source record

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Source: ClinicalTrials.gov.

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Registry identifier: NCT06646120
Data provider: ClinicalTrials.gov
Source updated: 2025-12-19
Normalization version: ctgov-legacy-1

Open registry record

Source retrieved: 2026-10-25 22:37:17 UTC

Study Stopped

Machine Learning and 3D Image-Based Modeling for Real-Time Body Weight and Body Composition Estimation During Emergency Medical Care. Study 1

Brief Summary

Registry Overview

Trial Relationships

Study Timeline

First Submitted

First Posted

Study Start

Primary Completion

Study Completion

Conditions

Keywords

Outcome Measures

Primary Outcomes (3)

Secondary Outcomes (3)

Eligibility Criteria

You may qualify if:

You may not qualify if:

Sponsors & Collaborators

Related Publications (7)

MeSH Terms

Conditions

Condition Hierarchy (Ancestors)

Enrollment

Study Design

Study Record Dates

Data Sharing

Source record

Brief Summary

Registry Overview

Trial Relationships

Related Scientific Literature

Study Timeline

First Submitted

First Posted

Study Start

Primary Completion

Study Completion

Conditions

Keywords

Outcome Measures

Primary Outcomes (3)

Secondary Outcomes (3)

Eligibility Criteria

You may qualify if:

You may not qualify if:

Sponsors & Collaborators

Related Publications (7)

MeSH Terms

Conditions

Condition Hierarchy (Ancestors)

Enrollment

Study Design

Study Record Dates

Data Sharing

Source record