Machine Learning Tool Predicts a Child’s Cisplatin-Induced Hearing Loss Risk
This tool allows doctors to tailor interventions like hearing monitoring or STS use based on each child's specific risk of cisplatin-induced hearing loss.
This tool allows doctors to tailor interventions like hearing monitoring or STS use based on each child's specific risk of cisplatin-induced hearing loss.
Starkey announced it is entering into a research collaboration with researchers from the Stanford University School of Medicine to study the use of hearing aids equipped with embedded sensors and artificial intelligence to track and mitigate health risks as well as enhance speech intelligibility in challenging listening environments.
In a recent TEDx talk called “Escaping the Hidden Prison of Auditory Processing Disorder,” Angela Loucks Alexander recalls being locked in a basement from the ages of 13-17 with no access to running water or a bathroom and not “talked to or touched,” apart from a twice-per-day sandwich delivery from her father.
The researchers used a machine learning algorithm to map which brain regions are activated when the different music-induced emotions are separated from each other.
Read MoreCSL’s Systems and Networking Research Group (SyNRG) is defining a new sub-area of mobile technology that they call “earable computing.” The team believes that earphones will be the next significant milestone in wearable devices, and that new hardware, software, and apps will all run on this platform
Read MoreWith its more than 25 years of experience in cochlear implants, Advanced Bionics brings the Marvel platform to benefit adult cochlear implant recipients.
Read MoreNot only are hearing aids capable of connecting directly to smartphones, but now, through the use of embedded sensors, machine learning, and artificial intelligence, hearing aids are themselves getting smarter and adding value to patient-centered hearing healthcare that goes well beyond amplifying sound.
Read MoreThe focus of this year’s event was how emerging technologies are key to combating the loneliness epidemic facing many older adults today. Chief Health Officer Archelle Georgiou, MD and Chief Innovation Officer Dave Fabry, PhD, both presented on the topic.
Read MoreWhen the smartwatch picks up a sound the user is interested in — examples include a siren, a microwave beeping, or a bird chirping — SoundWatch will identify it and send the user a friendly buzz along with information about the sound, according to an article on the UW News website.
Read MorePowered by AI, Widex SoundSense Learn helps process inputs from connected hearing aids throughout the world and shares anonymized data with a cloud-based AI system.
Read MoreFor those with hearing loss, noisy environments like shops and restaurant patios can make it nearly impossible to hold conversations. HeardThat “turns iPhones into powerful hearing assistive devices to make voices more clear.”
Read MoreThe Moxi Jump R helps provide hearing aid wearers with “easy-to-use technology that automatically adapts to a user’s listening environment.”
Read MoreIn the winning solution, Bittium integrated Philips EmoGraphy and Philips VitalSigns Optical technologies into a wearable device that reportedly calculates stress levels by measuring cortisol contribution from skin conductance.
Read MoreIn the winning solution, Bittium integrated Philips EmoGraphy and Philips VitalSigns Optical technologies into a wearable device that reportedly calculates stress levels by measuring cortisol contribution from skin conductance.
Read MoreA multinational survey of hearing aid users shows substantial advantages and high satisfaction rates for the new Widex EVOKE hearing aid. Additionally, the device’s SoundSense Learn feature was shown to provide real-time personal sound customization that would not have been achievable via a conventional fitting rationale.
Read MoreFor people with hearing loss it can be very difficult to understand and separate voices in noisy environments. This problem may soon be history thanks to a new algorithm that is designed to recognize and separate voices efficiently in unknown sound environments
Read MoreResearchers wanted to see whether machine learning algorithms could pick out patterns within the raw acoustical data that indicated what the crowd was doing at a given time, thereby providing clues as to what was happening in the game itself.
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