Dr. Achin Bhowmik Details the Many Ways Today’s Hearing Aids are Not Like Your Father’s

PubMed·Journal article·AI & technology·1d ago

A systematic review of machine learning techniques for real-time speech and noise classification in hearing aids

No immediate practice change warranted, but audiologists should monitor this fast-moving area as ML-based classifiers are approaching real-time clinical deployment and may soon influence device selection counseling.

PU

PubMed·Journal article·AI & technology·3d ago

Real-time brain-controlled selective hearing enhances speech perception in multi-talker environments

This is a promising proof-of-concept, but the technology requires real-time neural decoding hardware not yet suitable for clinical hearing aids; no practice change is warranted now, though audiologists should monitor this research area closely.

PU

PubMed·Journal article·AI & technology·6d ago

ASEAF: Attention-SincNet driven EEG-audio fused target speaker extraction network

EEG-audio fused auditory attention decoding represents a key research frontier for next-generation neuro-steered hearing aids, making this directly relevant to audiology's technology pipeline.

PU

PubMed·Journal article·AI & technology·8d ago

In-ear EEG wearables for brain activity assessment and cognitive rehabilitation: the emerging role of multimodal embedded intelligence

In-ear EEG wearables represent a convergence of audiology hardware and neurotechnology that could reshape how hearing devices are designed and what cognitive services audiologists provide.

The Hearing Journal Podcast·Podcast·AI & technology·12d ago

AI Virtual Patients in Audiology Education: Student and Educator Perspectives

Dr. Barbra Timmer examines the use of AI virtual patients in audiology education, presenting perspectives from both students and educators on this emerging training tool.

ASHA Voices·Podcast·AI & technology·2y ago

How AI Can Aid Care Coordination for Patients Experiencing Dizziness

Audiologist Devin McCaslin (University of Michigan) discusses his work using AI to streamline care coordination and reduce costs for patients experiencing dizziness and balance disorders.

PU

PubMed·Journal article·AI & technology·2w ago

Deep learning for discriminating cochlear malformations on temporal bone CT

No immediate practice change; the model is a research prototype and requires prospective clinical validation before it could replace or assist expert radiological review of cochlear malformations.

ASHA Voices·Podcast·AI & technology·2y ago

What AI May Have in Store for Hearing Care

Professor Fan-Gang Zeng (UC Irvine) explores AI applications in hearing care—spanning hearing aids, cochlear implants, tinnitus, and speech-in-noise assessment—on the ASHA Voices podcast.