Identifying Biomarkers of Pathology in Auditory Evoked Potentials
Biotech and Life Science
Abstract
An automated approach to evaluate Auditory Evoked Potentials (AEPs) using proprietary robust diagnostic AI modeling. This approach increases efficiency of audiologist appointments, improves diagnosis and treatment outcomes for hearing loss by automating detection of underlying sensory and neural pathologies to align treatment with underlying site-of lesion and remaining function, and increases high-quality AEPs analysis availability.
What It Is
An automated approach to evaluate Auditory Evoked Potentials (AEPs) using diagnostic AI modeling. Increases efficiency of audiologist appointments and improves diagnostic outcomes for effective treatment without specialist treatment.
Value Proposition
Improve diagnosis and treatment outcomes for hearing loss by automating detection of underlying sensory and neural pathologies to better align treatment. Increase high-quality AEPs analysis availability.
Applicable Markets
Global audiology devices market, Software as a Medical Device
Benefit
While trained specialists can visually perform various AEPs assessments, these are limited by specialist and patient time, the visibility of factors to the human eye, and human error. Research using diagnostically rich AI modelling in animal models has shown that an automated approach to evaluating a battery of AEPs can result in more accurate diagnosis and better treatment outcomes. This technology improves diagnosis and treatment outcomes for hearing loss by automating detection of underlying sensory and neural pathologies to better align treatment with underlying site-of lesion and remaining function.
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Researchers
Aryn Kamerer
Jarrod Mau
Kevin Moon
USU Department: Department of Communicative Disorders and Deaf Education, Mathematics and Statistics
Funding
This invention was made with government support awarded by the National Institutes of Health (NIH) National Institute on Deafness and Other Communication Disorders. The government has certain rights in the invention.
USU Reference No. C26019
- Preliminary data on one auditory disorder being shared as a poster at the Association for Research in Otolaryngology MidWinter Meeting in Puerto Rico, February 2026 https://pubs.acs.org/doi/10.1021/jacs.6b10984
Pending U.S. Provisional Patent Application Filed February 2026