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Health Ahead Comparative Effectiveness Study
Sponsor: William Brandenburg, MD
Summary
The Health Ahead Comparative Effectiveness Study is a pragmatic, parallel-arm interventional platform that systematically compares successive changes to preventive health screening on the path toward a fully automated screening system deployable in any environment, including the most isolated and resource-limited communities. Each change is isolated as a single variable against current practice, and every comparison is evaluated with a common set of engagement, behavior-change, experience, cost, and longitudinal outcome measures, so results accumulate on a consistent yardstick across the life of the platform. The first comparison evaluates AI-assisted versus human-only interpretation ("reads") of screening data. Subsequent pre-planned comparisons, added by protocol amendment, evaluate static versus interactive personalized report delivery; mobile community versus fixed laboratory screening; and a hybrid medical-droid-plus-human delivery model versus human-only screening.
Official title: Health Ahead: Sequential Comparative-Effectiveness Studies Toward Automated, Universally Deployable Preventive Health Screening
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
1000000
Start Date
2026-06-09
Completion Date
2099-12-31
Last Updated
2026-09-08
Healthy Volunteers
Yes
Conditions
Interventions
AI-Assisted Screening Interpretation (AI Reads)
An AI-generated read of the acquired screening battery is produced and presented to the physician of record as a clinical aid. All models used are third-party models, executed unmodified on Longevity Metrics clinical infrastructure. The physician reviews each read, records a structured judgment before sign-off, and then produces and signs the released interpretation, which may adopt, modify, or reject any read.
Human-Only Screening Interpretation
All acquired screening data, images, tracings, and laboratory results are interpreted by the physician of record and qualified clinical staff under physician supervision, by standard practice and without AI decision support. This is the current standard of care and the active comparator.
Locations (1)
Longevity Metrics
Boulder, Colorado, United States