Audiologist-guided multimodal AI for audiometry and tympanometry reporting
Published in Journal of Medical Systems: evaluation of AI-assisted audiometric image transcription, clinical interpretation, and reporting.
A running archive of group updates, assessment-tool releases, publications, conferences, and seminar activity. The homepage stays compact by showing only the latest 6-month window.
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14 updates
Published in Journal of Medical Systems: evaluation of AI-assisted audiometric image transcription, clinical interpretation, and reporting.
An arXiv preprint describing rubric-guided consultation policies and a blinded evaluation using simulated cases. This work has not been peer reviewed.
A benchmark development and validation study evaluating large language models on clinical audiology knowledge, research evidence, and multimodal cases.
We will join the 37th World Congress of Audiology in Seoul, Korea, a global meeting focused on the future of audiology.
A browser-based research-preview workflow now supports HFEQ-Mandarin item entry, raw domain profiling, and JSON/CSV export.
The website now presents iDIN, PROMs, and future tools as part of a broader AI-enabled hearing-care assessment platform.
Taiwanese and American English audio tracks were added, with American English correction levels prepared for sequence synthesis.
A Hearing Journal article by Changgeng Mo and Shangqiguo Wang on how generative AI may broaden access to audiology education.
A qualitative study on how audiologists in China view AI in clinical practice, professional identity, and future hearing-care work.
An International Journal of Audiology article examining second-language exposure effects on iDIN performance.
A Hearing Journal article framing accessible hearing measurement and monitoring as a practical opportunity for hearing care.
A publication highlighting practical considerations for using AI chatbots in hearing-health information and support.
An ICASSP 2026 contribution on speech foundation model layers for intelligibility prediction.
An ICASSP 2026 contribution on non-intrusive intelligibility prediction using multiple speech enhancers.
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New conference notes, publication announcements, tool releases, and group updates should be added to app/data/news.ts. The archive, homepage latest-news window, and type summaries will update from the same source.