This standard specifies the architectural framework and data interface requirements for Physical Artificial Intelligence (AI)-enabled Smart Mandibular Advancement Devices (Smart MADs), designed to perform autonomous, closed-loop therapeutic adjustments for sleep apnea and related breathing disorders. The scope encompasses the definition of logical structures and data communication protocols among the device's core functional layers: • the perception layer that is responsible for real-time physiological sensing and pre-processing, • the cognition layer that includes AI-based state inference and a deterministic safety supervisor, and • the actuation layer that executes physical mandibular positioning. Specifically, this document standardizes the internal data flows and command formats between modules to help ensure interoperability across heterogeneous sensors and algorithms, while establishing mandatory control limits and fail-safe mechanisms to protect patient safety during automated physical interventions. This standard does not include clinical diagnostic criteria for specific medical conditions or the validation of the clinical efficacy of individual therapeutic algorithms.
- Standard Committee
- C/AISC - Artificial Intelligence Standards Committee
- Status
- Active PAR
- PAR Approval
- 2026-03-26
Working Group Details
- Society
- IEEE Computer Society
- Standard Committee
- C/AISC - Artificial Intelligence Standards Committee
- Working Group
-
AI Smart Sleep Therapy - Physical AI Smart Sleep Therapy
- IEEE Program Manager
- Christy Bahn
Contact Christy Bahn - Working Group Chair
- SangKwon Jeong
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