How Starkey Became the AI Leader of the Hearing Industry

Send us Fan Mail As Starkey’s R&D team celebrates nearly 300 years of collective work experience in the field of artificial intelligence, Dave sits down with Starkey’s Vice President of Advanced Development, Amit Shahar. They talk about Starkey’s journey to becoming the industry-leader in AI and DNN, including the strategic decision to establish a global R&D presence, with key operations in Tel Aviv, Israel....

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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·13d 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·8d 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.