Developing machine learning-based smart audiometry 

The aims of this study are:

• to develop a fully automated audiometer designed for independent patient use that can estimate hearing thresholds more rapidly than the traditional Hughson–Westlake procedure.

• to focus on optimizing the test's usability, feasibility, and clinical efficiency, with particular emphasis on meeting the needs of patients over 65 years of age.

Principal investigator:

Motoki Saito

MSc, PhD student