Sign in Subscribe
Artificial intelligence

AI-Powered Hearing Test Revolutionizes Hearing Assessment at Home

Strategic Insights

— 1 min read

Researchers at the University of Manchester have developed and tested an AI-powered version of the Digits-in-Noise (DIN) test, which can efficiently check one's hearing from the comfort of their own home using a computer or smart phone. The high-tech hearing test uses AI to screen out background noise, making it possible to understand human speech accurately. The study, funded by the Medical Research Council's Doctoral Training Partnership grant, found that the AI-powered test was reliable and valid, giving virtually the same results as traditional DIN tests.

Key Takeaways:

  • The AI-powered hearing test can be performed without clinical supervision in 10 minutes, making it a time-efficient option for patients.
  • The test uses AI to screen out background noise and understand human speech accurately, reducing the need for specialized equipment and trained staff.
  • The AI-powered test was evaluated against two conventional DIN tests and showed virtually the same results in terms of reliability and validity.
  • The study found that the AI-powered test was particularly effective in individuals with normal hearing and with hearing loss, although there was slightly more variability in some cases, especially in people with strong accents.
  • The test software will be freely available, providing a foundation for future developments using more advanced speech technologies.
  • The researchers plan to explore extending this technology to more complex speech tests in future studies.
  • The study highlights the potential for AI to modernize hearing care and make it more accessible and user-friendly.
  • The AI-powered test could potentially reduce the estimated 8.9-year delay between the time hearing aids are needed and the time of their adoption.

Statistics:

  • 31 adults participated in the study, including some with normal hearing and with hearing loss.
  • The AI-powered test was evaluated against two conventional DIN tests in the study.
  • The AI-powered test was found to be reliable and valid, with virtually the same results in terms of reliability and validity as the conventional DIN tests.
  • The estimated 8.9-year delay between the time hearing aids are needed and the time of their adoption.

Sources:

  • University of Manchester
  • Medical Research Council's Doctoral Training Partnership
  • Journal Trends in Hearing
  • National Institute for Health and Care Research (NIHR) Manchester Biomedical Research Centre

Read more