Clinical Investigation of New CI Delivery Models in an Adult Nucleus CI Population

Completed · Not applicable

Conditions studied: Sensorineural Hearing Loss, Bilateral, Cochlear Implant

In brief

Use of Artificial Intelligent (AI) technology to assist audiologists in programming cochlear implants.

Key facts

Study ID

NCT03304106

Run by

Cochlear

People needed

102

Starts

2017-10-19

Expected to finish

2019-09-18

Last updated by the study team

2020-10-29

Who can join

Age: 12 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• Newly implanted and existing recipient Groups (Groups 1 and 2):
• Age 12 and older
• Monosyllabic word score administered at 60dBA (2 lists) with an appropriately fit hearing aid in the ear to be implanted who are receiving a cochlear implant as standard of care
• Group 2: 3 months or greater combined experience with commercially available sound processors
• Fluent spoken English skills

You may not qualify if…

• Unrealistic expectations on the part of the subject regarding the possible benefits, risks, and limitations
• Additional cognitive, medical or social handicaps that would prevent completion of all study requirements as determined by the Investigational team
• Unwillingness or inability of the subject to comply with all investigational requirements
• Use of an acoustic component in the implanted ear
• Less than 18 active electrodes
• Hybrid L Cochlear Implant

Where it is running

• Rocky Mountain Ear Center — Englewood, Colorado, United States
• Greater Baltimore Medical Center — Baltimore, Maryland, United States
• University of Michigan — Ann Arbor, Michigan, United States
• Midwest Ear Institute — Kansas City, Missouri, United States
• New York University — New York, New York, United States
• Hearts for Hearing — Oklahoma City, Oklahoma, United States
• Vanderbilt University Medical Center — Nashville, Tennessee, United States
• Cochlear Hearing Center Houston — Houston, Texas, United States
• Peak ENT Associates — Provo, Utah, United States

Full record on ClinicalTrials.gov

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