William Brandenburg, MD
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.
Access to comprehensive preventive health screening is profoundly unequal. Geographic, economic, and systemic barriers leave medically underserved populations, including rural, frontier, and isolated communities, with little or no access to screening deep enough to identify disease before symptoms occur. The long-term aim is a fully automated preventive screening system deployable anywhere people live. Reaching it safely requires testing each change to the screening model one variable at a time, against current practice. The study is therefore a standing sequential comparative-effectiveness p…
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.
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.
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.