Objective To provide a state of the art review of artificial intelligence (AI), including its
subfields of machine learning and natural language processing, as it applies to …

Highlights•Sensitive periods in humans are studied using methods developed in animal
models•Environmental deprivation is the predominant approach to studying sensitive …

Deaf and Hard of Hearing (DHH) children need to master at least one language (spoken or
signed) to reach their full potential. Providing access to a natural sign language supports this …

Cochlear implants have been the most successful neural prosthesis, with one million users
globally. Researchers used the source-filter model and speech vocoder to design the …

The advances in artificial intelligence that are transforming many fields have yet to make an
impact in hearing. Hearing healthcare continues to rely on a labour-intensive service model …

Brain-computer interfaces (BCIs) have shown great prospects as real-time bidirectional links
between living brains and actuators. Artificial intelligence (AI), which can advance the …

Objectives: The purpose of this study was to develop a deep-learning framework for the
diagnosis of chronic otitis media (COM) based on temporal bone computed tomography …

Use of artificial intelligence (AI) is a burgeoning field in otolaryngology and the
communication sciences. A virtual symposium on the topic was convened from Duke …

Visual cortex organization is highly consistent across individuals. But to what degree does
this consistency depend on life experience, in particular sensory experience? In this study …

Hearing loss is a heterogeneous disorder thought to affect brain reorganization across the
lifespan. Here, structural alterations of the brain due to hearing loss are assessed by using …