US20260256393
2026-09-03
Human necessities
A61B5/163
TeleAutoNeuro is a novel system that utilizes AR/VR/XR technologies to autonomously conduct real-time, quantitative assessments for neurologic care. It eliminates the need for direct provider involvement, thereby enhancing the accessibility, efficiency, and accuracy of neurologic screenings. The system employs augmented reality (AR), virtual reality (VR), and extended reality (XR) to precisely track head and eye movements, providing a more immersive and accurate assessment environment. This innovation significantly improves access to neurologic care, particularly for patients in remote or underserved areas, and supports continuous monitoring of chronic neurologic conditions for better long-term disease management.
Millions of patients in the U.S. experience dizziness or vertigo each year, with potential neurologic causes that require accurate differentiation from benign conditions. The HINTS test, which evaluates head and eye movements, is more sensitive and specific than traditional brain imaging for distinguishing strokes from inner ear diseases. However, the widespread adoption of HINTS is hindered by the limited availability of trained experts in emergency settings. This challenge underscores the necessity for automated remote assessments to improve diagnostic accuracy and patient outcomes.
The invention addresses the shortage of skilled personnel by introducing a remote automated neurology screening tool that integrates large language models and eye-tracking technology. Neurological diseases often manifest through unique eye movement signatures, which can be used for diagnostic purposes. The system analyzes these eye movement patterns alongside clinical historical data to autonomously screen for central and peripheral nervous system diseases, facilitating subspecialty-specific triage decisions.
The system comprises a computer processor designed to receive, monitor, and transmit data from subjects for neurologic assessment. It ensures data quality by continuously collecting information until it meets predetermined standards. The data is then transmitted to healthcare providers or a data cloud for further analysis. The system uses various devices for data collection, including head-mounted displays, smartphones, and smartwatches, and employs the HINTS assessment protocol to generate diagnoses and additional queries based on patient responses.
TeleAutoNeuro leverages neurology expertise, generative AI, computer vision, natural language processing, and wearable sensing technology to create an autonomous AR/VR remote eye sensing system. By integrating large language models with electronic medical records, it curates novel digital eye movement biomarkers for brain diseases. This comprehensive approach not only enhances diagnostic capabilities but also streamlines the triage process, ensuring timely and accurate referrals for specialized neurologic care.