News
New Publication Announcement in Partnership with Stanford Sleep Medicine and UCSF
We at Fullpower-AI® are proud to share our latest peer-reviewed study, published in the Journal of Sleep Medicine: https://doi.org/10.1016/j.sleep.2025.106808
This large-scale U.S. study evaluates home-based, under-mattress devices (the Sleeptracker-AI® platform) for the detection and prevalence of Obstructive Sleep Apnea (OSA) — comparing its accuracy to traditional in-lab polysomnography (PSG).
Key Findings
High Accuracy: Sleeptracker-AI reliably detects moderate to severe OSA, with results comparable to gold-standard lab tests.
Consistency: Strong night-to-night reliability supports continuous monitoring.
Clinical Relevance: Expansion into telemedicine programs can expand early screening and management of OSA.
Why It Matters
Comfort & Accessibility: Patients can be screened at home, increasing adherence and reducing barriers to care.
Cost & Efficiency: Faster, more scalable diagnostics lower healthcare costs and shorten wait times.
Equity & Reach: Brings sleep health to underserved and remote populations.
This work reinforces the transformative role of the Sleeptracker-AI, a non-invasive, continuous, home-based biosensing platform, in improving the early detection and management of sleep-disordered breathing.
At Fullpower-AI, we are committed to advancing science-backed, AI-powered solutions that improve health outcomes worldwide.
About Fullpower-AI®
Our mission is to make advanced AI biosensing universally accessible, empowering better sleep, Remote Patient Monitoring (RPM), and healthspan through real-time, science-validated intelligence.