Active — Not RecruitingNot Applicable

Machine Learning for Estimating Cardiorespiratory Fitness in Patients With Obesity

1,700 participantsStarted 2025-05-30

Plain-language 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.

Who can participate

Age range18 Years – 100 Years

SexALL

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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.

Inclusion Criteria: * diagnosed with severe obesity * body mass index (BMI) ≥40.0 kg •m-2, or 35.0-39.9 kg •m-2 with at least one obesity-related comorbidity Exclusion Criteria: * not obese

What they're measuring

Machine learning model to estimate vo2max

Timeframe: The project will be completed in 2027

Trial details

NCT IDNCT07011108

SponsorSykehuset i Vestfold HF

Sponsor typeOTHER

Study typeOBSERVATIONAL

Primary completion2027-12-10

View on ClinicalTrials.gov More Obesity; Overweight trials