NCT07011108Active, not recruiting
Machine Learning for Estimating Cardiorespiratory Fitness in Patients With Obesity
Source: ClinicalTrials.gov · Last updated 8 Jun 2025
Brief summary (registry, in English)
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.
- Status (registry)
- Active, not recruiting
- Study type
- Observational
- Enrollment
- 1700 (estimated)
- First submitted
- 30 May 2025
- Start date
- May 2025
- Primary completion date
- Dec 2027
- Lead sponsor
- Sykehuset i Vestfold HF
- Diseases
- Obesity
- NCT number
- NCT07011108
What you commit to
- Study type: Observational
- Planned participants: 1700
- From May 2025 to the primary completion date, Dec 2027
- No sites listed in no country
- Visits and tests: ask the trial team, the registry does not list them
Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.
Who cannot take part
Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.
Other
- not obese
Who the study is looking for
- 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
Age in the registry: 18 years to 100 years · Sex: All · Does not accept healthy volunteers
Related publications
This page is information, not medical advice. Discuss any trial with your doctor.