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Related Experiment Video

Updated: Jan 19, 2026

Electrically Evoked Stapedius Reflex Measurements in Cochlear Implantation and Its Application in the Postoperative Fitting Process
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From manual to artificial intelligence fitting: Two cochlear implant case studies.

Justine Wathour1, Paul J Govaerts2, Naïma Deggouj1

  • 1Cliniques Universitaires Saint-Luc, Avenue Hippocrate 10, Brussels, 1200, Belgium.

Cochlear Implants International
|September 19, 2019
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) software may enhance cochlear implant (CI) performance. AI-assisted fitting improved word recognition in two adult CI recipients who had suboptimal results with manual programming.

Keywords:
Artificial intelligenceAuditory outcomesCochlear implantT & C levels

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Area of Science:

  • Audiology
  • Biomedical Engineering
  • Artificial Intelligence in Medicine

Background:

  • Manual cochlear implant (CI) programming relies on clinician expertise and patient feedback.
  • Some adult CI users do not achieve optimal auditory outcomes despite extensive rehabilitation and numerous fitting sessions.
  • Individual variability in CI device programming is significant, necessitating personalized approaches.

Observation:

  • Two adult CI recipients with persistent challenges in auditory performance after manual fitting were selected for AI-assisted programming.
  • Subject 1 showed no open-set word recognition after 17 months and 19 manual fitting sessions.
  • Subject 2 had poor performance at soft and loud sound levels despite good open-set word recognition after 9 months of manual fitting.

Findings:

  • AI-assisted fitting, particularly using Automaps, facilitated open-set word recognition development in Subject 1.
  • AI-driven adjustments improved word recognition scores at various intensity levels for Subject 2.
  • The AI-suggested CI programming parameters deviated from typical manual fitting strategies.

Implications:

  • AI-assisted fitting holds potential for improving auditory outcomes in adult cochlear implant users with suboptimal manual programming.
  • This approach may offer a more efficient and effective method for CI device optimization.
  • Further research is warranted to explore the broader applicability and long-term benefits of AI in CI rehabilitation.