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®
Fullpower-AI® delivers the real-time KOA platform, an enterprise-grade LAM (Large Action Model) biosensing solution engineered to scale specialized conversational and generative AI for the health, wellness, senior living, and sleep science sectors. The real-time KOA platform is a complete no-code solution with optional extensibility via API, and is built for providers to deploy autonomous AI agents with real-time reasoning, adaptive learning, and actionable intelligence across all communication channels. These human-like agents enable fast, personalized, and context-aware interactions while seamlessly aggregating and analyzing data from all major wearables and contactless sensors. By managing routine tasks and queries, KOA empowers care teams to focus on complex needs and meaningful resident engagement. Stanford Medicine and UCSF independently vet our platform.