Health Ahead: Comparing AI vs. Humans for Preventive Health Screening
Official title: Health Ahead: Sequential Comparative-Effectiveness Studies Toward Automated, Universally Deployable Preventive Health Screening
Run by Longevity Metrics, Inc. · NCT07669168 · Data updated 2026-11-12
This study tests AI-assisted screening interpretation against human-only reads to see if automated screening can match or improve current practice for adults, especially in underserved areas.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 1000000 (estimated) |
| Sponsor | Longevity Metrics, Inc. Industry-sponsored |
| Locations | 1 site (Boulder, Colorado) |
| Status | Recruiting |
| Started | June 9, 2026 |
| Main results expected | December 31, 2099 |
| Study ends | December 31, 2099 |
| Registry record updated | September 8, 2026 |
| Trial ID | NCT07669168 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults 18 years and older who are willing to consent and participate in longitudinal follow-up, including individuals in medically underserved or rural areas.
✕Probably not a fit
Individuals who are unable to provide informed consent or participate in follow-up, or whose health needs require alternative screening pathways.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
The Health Ahead Comparative Effectiveness Study is a pragmatic, platform trial that tests changes to preventive health screening one variable at a time. It compares AI-assisted interpretation with human-only reads, then adds planned comparisons such as interactive personalized reports, mobile screening versus fixed laboratories, and a hybrid medical-droid-plus-human model. Each comparison uses a common set of outcomes covering engagement, behavior change, experience, cost, and long-term results, and is evaluated against current practice with non-inferiority as the primary hypothesis. Allocation is randomized when feasible, and studies are registered with predefined non-inferiority margins. The goal is a fully automated, broadly deployable screening system suitable for even resource-limited communities.
Why it matters
Potential benefit: If successful, the approach could expand accessible and efficient preventive screening, especially in medically underserved and rural settings.
How similar studies have gone: Prior studies have shown promise for AI-assisted screening approaches in improving interpretation efficiency, though results vary by context and implementation.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Age 18 years or older * Willing and able to provide written informed consent, or enrollment with consent of a legally authorized representative * Willing to participate in longitudinal follow-up. Exclusion Criteria: \- Age under 18 years.
Where it's running
-
Longevity Metrics
Boulder, Colorado, United States Recruiting
Study contacts
- Principal investigator: William Brandenburg, MD — Longevity Metrics
- Study coordinator: William Brandenburg, MD
- Email: info@longevitymetrics.org
- Phone: 13035010016
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.