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

NCT ID: NCT03304106

Last Updated: 2020-10-29

Study Results

Results available

Outcome measurements, participant flow, baseline characteristics, and adverse events have been published for this study.

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Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

102 participants

Study Classification

INTERVENTIONAL

Study Start Date

2017-10-19

Study Completion Date

2019-09-18

Brief Summary

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

Detailed Description

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Conditions

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Sensorineural Hearing Loss, Bilateral Cochlear Implant

Study Design

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Allocation Method

NON_RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

TREATMENT

Blinding Strategy

NONE

Study Groups

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Newly Implanted CI Recipients

Use of AI technology to assist in audiologist's evaluation and programming of new (standard of care-commercial) cochlear implant recipients

Group Type EXPERIMENTAL

Commercially available cochlear implant and AI system

Intervention Type DEVICE

Use of AI technology to assist in audiologist's evaluation and programming of cochlear implant recipients

Existing CI recipients

Use of AI technology to assist in audiologist's evaluation and programming of existing cochlear implant recipients

Group Type EXPERIMENTAL

Commercially available cochlear implant and AI system

Intervention Type DEVICE

Use of AI technology to assist in audiologist's evaluation and programming of cochlear implant recipients

Interventions

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Commercially available cochlear implant and AI system

Use of AI technology to assist in audiologist's evaluation and programming of cochlear implant recipients

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

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

Exclusion Criteria

* 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
Minimum Eligible Age

12 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Cochlear

INDUSTRY

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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Rocky Mountain Ear Center

Englewood, Colorado, United States

Site Status

Greater Baltimore Medical Center

Baltimore, Maryland, United States

Site Status

University of Michigan

Ann Arbor, Michigan, United States

Site Status

Midwest Ear Institute

Kansas City, Missouri, United States

Site Status

New York University

New York, New York, United States

Site Status

Hearts for Hearing

Oklahoma City, Oklahoma, United States

Site Status

Vanderbilt University Medical Center

Nashville, Tennessee, United States

Site Status

Cochlear Hearing Center Houston

Houston, Texas, United States

Site Status

Peak ENT Associates

Provo, Utah, United States

Site Status

Countries

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United States

References

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Zwolan TA, Presley R, Chenier L, Buck B. Investigation of an Outcomes-Driven, Computer-Assisted Approach to CI Fitting in Newly Implanted Patients. Ear Hear. 2021 May/Jun;42(3):558-564. doi: 10.1097/AUD.0000000000000957.

Reference Type DERIVED
PMID: 33027199 (View on PubMed)

Provided Documents

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Document Type: Study Protocol

View Document

Document Type: Statistical Analysis Plan

View Document

Other Identifiers

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CAM 5417

Identifier Type: -

Identifier Source: org_study_id