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From manual to artificial intelligence fitting: Two cochlear implant case studies.

Objective: To assess whether CI programming by means of a software application using artificial intelligence (AI), FOX®, may improve cochlear implant (CI) performance. Patients: Two adult CI recipients who had mixed auditory results with their manual fitting were selected for an AI-assisted fitting....

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Published in:Cochlear Implants International: An Interdisciplinary Journal Vol. 21; no. 5; pp. 299 - 306
Main Authors: Wathour, Justine, Govaerts, Paul J., Deggouj, Naïma
Format: case study tables/charts Journal Article
Published: Taylor & Francis Ltd Sep2020
Online Access:View this record in EBSCOhost
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      jtl: Cochlear Implants International: An Interdisciplinary Journal
      issn: 14670100
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      dt: Sep2020
      vid: 21
      iid: 5
      pid: 377
      pub: Taylor & Francis Ltd
      place: Philadelphia, Pennsylvania
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        10.1080/14670100.2019.1667574
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        atl: From manual to artificial intelligence fitting: Two cochlear implant case studies.
      aug:
        au:
          Wathour, Justine
          Govaerts, Paul J.
          Deggouj, Naïma
        affil: Cliniques Universitaires Saint-Luc, Avenue Hippocrate 10, Brussels, 1200, Belgium
      sug:
        subj:
          Cochlear Implant
          Deafness
          Rehabilitation of Persons with Hearing Loss Methods
          Artificial Intelligence
          Prosthetic Fitting Methods
          Speech Perception
          Auditory Threshold
          Male
          Aged
          Software
          Female
          Aged: 65+ years
          Male
          Female
      ab: Objective: To assess whether CI programming by means of a software application using artificial intelligence (AI), FOX®, may improve cochlear implant (CI) performance. Patients: Two adult CI recipients who had mixed auditory results with their manual fitting were selected for an AI-assisted fitting. Even after 17 months CI experience and 19 manual fitting sessions, the first subject hadn't developed open set word recognition. The second subject, after 9 months of manual fitting, had developed good open set word recognition, but his scores remained poor at soft and loud presentation levels. Main outcome measure(s): Cochlear implant fitting parameters, pure tone thresholds, bisyllabic word recognition, phonemic discrimination scores and loudness scaling curves. Results: For subject 1, a first approach trying to optimize the home maps by means of AI-proposed adaptations was not successful whereas a second approach based on the use of Automaps (an AI approach based on universal, i.e. population based group statistics) during 3 months allowed the development of open set word recognition. For subject 2, the word recognition scores improved at soft and loud intensities with the AI suggestions. The AI-suggested modifications seem to be atypical. Conclusions: The two case studies illustrate that adults implanted with manual CI fitting may experience an improvement in their auditory results with AI-assisted fitting.
      pubtype: Academic Journal
      doctype:
        case study
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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