Publication
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.
HK Audiology Group / HKU
NeuraHear
We build AI-enabled hearing-care research and digital assessment tools for speech-in-noise performance, everyday functioning, and clinical translation.
- 36
- Scholar-indexed outputs
- 4
- Assessment pathways
- 9
- DIN language tracks
Research platform
AI-enabled hearing care meets digital assessment
Evidence, measurement, and responsible AI are developed as one translational research system.
01
AI care
Decision support
02
Assessment
Digital tools
03
Validation
Real-world evidence
Assessment tools
A growing tool registry
Current pathways span screening, speech-in-noise measurement, stimulus optimization, and everyday functioning.
Mission
Research that can move into practice.
Our work sits between auditory science, digital health, AI, and service design. The goal is practical: make hearing assessment easier to access, easier to interpret, and more useful for people and clinicians.
01
AI-enabled hearing care
Research on responsible AI systems for hearing-care education, assessment, counseling, and clinical decision support.
02
Digital assessment tools
A growing platform of browser-based assessment tools, including speech-in-noise tests and patient-reported outcomes.
03
Everyday functioning
ICF-informed measures that connect hearing ability with communication, participation, support, and daily-life impact.
Platform pathway
From research evidence to usable assessment tools.
The site now works as a living front door for the group: publications provide the evidence base, tools provide the measurement layer, and news keeps the activity record current.
Evidence
Scholar-linked research record
Publications anchor the platform in AI, speech-in-noise testing, everyday functioning, and hearing-care systems.
Open
Measure
Browser-based assessment tools
iDIN, digit optimization, and HFEQ-Mandarin form the current assessment layer.
Open
Update
News and activity archive
Recent publications, conferences, tool releases, and group updates stay visible on the homepage and preserved in News.
Open
Translate
AI-enabled care workflows
Future work can connect assessment outputs with AI-supported review, explanation, and clinical translation.
Open
Latest news
Recent activity from the platform.
Home keeps the most recent 6-month window compact. The full archive is kept on the News page.
Recent publications
- Open
- OpenPublication
Preprint: a bilingual AI audiologist evaluated in simulated consultations
An arXiv preprint describing rubric-guided consultation policies and a blinded evaluation using simulated cases. This work has not been peer reviewed.
- OpenPublication
AUDIOLOGYBENCH published in Journal of Medical Internet Research
A benchmark development and validation study evaluating large language models on clinical audiology knowledge, research evidence, and multimodal cases.
- OpenPublication
Democratizing Audiology Education: How Generative Artificial Intelligence Can Bridge the Global Resource Gap
A Hearing Journal article by Changgeng Mo and Shangqiguo Wang on how generative AI may broaden access to audiology education.
- OpenPublication
Perspectives of audiologists in China on artificial intelligence in clinical practice and professional identity
A qualitative study on how audiologists in China view AI in clinical practice, professional identity, and future hearing-care work.