Programming Cochlear Implant With Artificial Intelligence

Cliniques universitaires Saint-Luc- Université Catholique de Louvain30 enrolled

Overview

This thesis project proposes to investigate the "state of the art" of the programming of the cochlear implant. In the center of audiophonologie Brussels, the classic 'manual programming' has been in use over 20 years and also the new way 'Artificial Intelligence programming'. The investigators want to compare, objectify, and control this new mode of programming. The study is planned over 4 years, in order to test, randomized, 15 subjects with manual programming and 15 other subjects with Artificial Intelligence programming. To test the performance of Cochlear Implant patients, audiological, language auditory perception and questionnaire tests will be presented. This research aims to determine the contribution and results of Artificial Intelligence programming.

Study Type

INTERVENTIONAL

Allocation

RANDOMIZED

Purpose

TREATMENT

Masking

NONE

Enrollment

Conditions

Deafness; Perception

Interventions

Outcomes

Primary Outcomes

Evaluate Fox software efficiency

Evaluate Fox software efficiency for the programming of Cochlear implants used to facilitate hearing of deaf patients. This research aims to determine the contribution (time, results,…) of Artificial intelligence to program cochlear implants. The investigator will compare the results of hearing tests of newly programmed patients with FOX to those of newly programmed patients with a manual fitting. The outcomes used by software FOX are pure tone audiometry thresholds from 250 to 6000Hz, speech audiometry scores at 40, 55, 70 and 85 dB SPL, spectral discrimination scores using an oddity test in which 2 speech sounds are presented and where the aim is to react to the odd speech sound (Govaerts et al. 2006), and loudness growth curves determined with narrow band noises centered at 250, 1000 and 4000 Hz using an A§E® test battery (Meeuws et al., 2017).

Time frame: 1 year