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.
As many as half a million Australians are suffering from constant tinnitus, with farmers, automotive workers, transport drivers, construction workers, and other trades people at the greatest risk, a national survey as part of Curtin-led research has found.
Amplifon S.p.A. (MTA; Bloomberg ticker: AMP:IM), a hearing solutions and services company,...
Hearing loss among Indigenous Australians may hamper the effects of government programs like Close the Gap—a set of targets developed by the Australian government to reduce health inequalities between Aboriginal and Torres Strait Islanders and non-Indigenous Australians.
Read MoreAustralian cochlear implant research is showcased in a special supplement of the International Journal of Audiology, covering research conducted by the HEARing Cooperative Research Centre (CRC), The University of Melbourne, and the Royal Victorian Eye and Ear Hospital.
Read MoreAustralia’s noisy nightlife has researchers concerned about the potential damage loud music is doing to the hearing of young people.
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