Use of Hearing Aids Embedded with Inertial Sensors and Artificial Intelligence to Identify Patients at Risk for Falling.

Journal: Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology
PMID: 39792975

Abstract

OBJECTIVE: To compare fall risk scores of hearing aids embedded with inertial measurement units (IMU-HAs) and powered by artificial intelligence (AI) algorithms with scores by trained observers.

Authors

  • Kristen K Steenerson
  • Bryn Griswold
    Department of Otolaryngology-Head and Neck Surgery.
  • Donald P Keating
  • Majd Srour
    Starkey Hearing Technologies, Eden Prairie, MN.
  • Justin R Burwinkel
    Starkey Hearing Technologies, Eden Prairie, MN.
  • Erin Isanhart
    Department of Otolaryngology-Head and Neck Surgery.
  • Yifei Ma
    Department of Otorhinolaryngology, Affiliated Hospital of Guizhou Medical University, 28 Guiyi Street, Yunyan District, Guiyang, Guizhou, 550004, China. mayifei@gmc.edu.cn.
  • David A Fabry
    Starkey Hearing Technologies, Eden Prairie, MN.
  • Achintya K Bhowmik
  • Robert K Jackler
    Department of Otolaryngology-Head and Neck Surgery.
  • Matthew B Fitzgerald
    Department of Otolaryngology-Head and Neck Surgery.

Keywords

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