DEEPSONIC™: Taking AI to the next level in hearing aid technology

Learn more on how Phonak is revolutionizing the industry with DEEPSONIC. This AI chip is applying AI/DNN sound processing to deliver unparalleled speech clarity by separating speech from noise. Visit www.phonak.com/ai-audiology to learn more.

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PubMed·Journal article·AI & technology·7w 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.

PubMed·Journal article·AI & technology·7w 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.

PubMed·Journal article·AI & technology·4w ago

Human versus AI in audiological practice: A comparative evaluation of ChatGPT and physician treatment decisions in idiopathic sudden sensorineural hearing loss

Findings are preliminary and do not yet justify substituting or formally integrating ChatGPT into clinical decision-making for sudden sensorineural hearing loss; audiologists should await further validation before changing practice.

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

Therapeutic Hybrid Intelligence with Neural and Knowledge-based Expert Reasoning for SRS (THINKERS): a mixture-of-experts AI model for vestibular schwannoma

No immediate change to clinical audiology practice; THINKERS is a research-stage AI tool for neurosurgical outcome prediction in vestibular schwannoma and requires prospective validation before clinical adoption.

PubMed·Journal article·AI & technology·9d ago

Consensus on the use of artificial intelligence in the management and measurement of vestibular schwannomas: A protocol for a modified delphi consensus

Standardising AI-based volumetric measurement of vestibular schwannomas could reduce inter-centre variability in management decisions and accelerate reliable AI adoption in neuro-otology.

PubMed·Journal article·AI & technology·7w 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.

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

Single-trial EEG-based classification reveals instrument-specific timbre perception via traditional machine learning classifiers

Demonstrating that instrument-specific sound qualities (timbre) can be decoded from single-trial EEG opens a long-term research pathway toward neurofeedback-driven, music-optimised hearing aid signal processing.

PubMed·Journal article·AI & technology·8w 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.