AI Enables “Predict-to-Prescribe” Approach for Children Receiving Cochlear Implants
A deep transfer learning AI model predicted spoken language outcomes in children one to three years after cochlear implantation with 92% accuracy.
A deep transfer learning AI model predicted spoken language outcomes in children one to three years after cochlear implantation with 92% accuracy.
The start of the school year often inspires a “Fall refresh,” encouraging professionals to embrace new learning, reconsider established methods, and explore fresh approaches.
A recent study of outcomes in infants and young deaf children with cochlear implants suggests that socioeconomic status plays a major role in whether spoken language becomes their primary communication mode.
Effective counseling is central to successful audiologic care and becomes even more critical when patients or their communication partners present with concomitant communication disorders.
Frank Lin, MD, PhD, discusses the Know Your Hearing Number campaign and why this concept can help break down barriers to hearing care.
Oticon and Henry Ford Health's Division of Audiology launched a clinical research partnership to improve hearing aid fittings.
Angela Bonino, PhD, discusses her research on the lack of access to adequate hearing assessments for children with developmental disabilities.