Machine Learning for Estimating Cardiorespiratory Fitness in Patients With Obesity

NCT07011108 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 1700

Last updated 2025-06-08

No results posted yet for this study

Summary

The primary aim of this study is to develop an obesity-specific machine learning (ML) model capable of accurately estimating VO2max, a key indicator of cardiovascular fitness.

Conditions

  • Obesity; Overweight

Interventions

OTHER

No intervention (observational study)

no intervention

Sponsors & Collaborators

  • Sykehuset i Vestfold HF

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
100 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-05-30
Primary Completion
2027-12-10
Completion
2027-12-24

More Related Trials

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07011108 on ClinicalTrials.gov