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Conceptual framework introduces a non-contact health monitoring system using AI in various environments, suggesting advancements in oral diagnostics.
Authors: Daria Stoliarova, Yulia Grigorieva, Dr. Nadezhda Krutova, Dmitry Zherebilo This working paper introduces the conceptual and technological framework for gloveX an innovative wearable AI peripheral designed for completely non-contact, non-invasive oral health monitoring. According to WHO data, over 3 billion people globally suffer from oral diseases, with traditional clinical diagnostics often being costly, delayed, or inaccessible—particularly in isolated environments such as long-term maritime voyages, polar research stations, and space missions. The core innovation of the gloveX system lies in its platform unimorphism. The device is designed in a glove form factor that is natively compatible not only with the human hand but also with anthropomorphic robotic manipulators. This allows the sensor array to be deployed on general-purpose humanoid robots without mechanical design modifications, turning them into autonomous diagnostic stations. The paper delineates the platform's multi-tier architecture across three target segments: Home: A wellness-oriented, multi-profile solution for family lifestyle tracking. Pro: A certified medical device for dental clinics that includes advanced diagnostic reporting and a specialized Orthodontic Module (automating Bolton Analysis, Arch Length Deficiency, and Periodontal Index calculations). Expedition: An autonomous medical assistance system designed for isolated environments, featuring local data archives and an AI-driven clinical support protocol that interfaces with standard expedition medical kits under disconnected conditions. Furthermore, the document details the physical principles of data acquisition—based on non-contact photoacoustic, laser-ultrasound tissue imaging, and sub-THz photoacoustic sensing—and addresses the critical physical, data-scarcity, and regulatory (FDA/MDR) risks associated with the implementation of the system (TRL 1–3).
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Stoliarova et al. (2026) studied this question.
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