Use of Artificial Intelligent (AI) technology to assist audiologists in programming cochlear implants.
Study Type
INTERVENTIONAL
Allocation
NON_RANDOMIZED
Purpose
TREATMENT
Masking
NONE
Enrollment
102
Use of AI technology to assist in audiologist's evaluation and programming of cochlear implant recipients
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
Change in Monosyllabic Word Recognition Scores (CNC) in Quiet
Monosyllabic word recognition was scored in quiet using Consonant-Nucleus-Consonant (CNC) words. Scores are listed as percentage correct thus a higher score (percentage) means a better outcome.Group 1: Preoperative to postoperative percentage performance after 6 months of cochlear implant use. Group 2: Visit A to Visit B after 1 month of cochlear implant use.
Time frame: Pre-operative/Visit A; Group 1: 6 months; Group 2: 1 month
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.
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