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Published on: June 21, 2024
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Effect of a CI Programming Fitting Tool with Artificial Intelligence in Experienced Cochlear Implant Patients.
Justine Wathour1, Paul J Govaerts, Emilie Lacroix
1Cliniques universitaires Saint-Luc, Avenue Hippocrate 100, 1200, Brussels, Belgium.
Summary
Artificial intelligence (AI) software improved hearing outcomes for cochlear implant (CI) patients. The AI-assisted mapping enhanced pure tone audiometry and speech understanding, offering a potential assistive tool for better audiological results.
Area of Science:
- Audiology
- Biomedical Engineering
- Artificial Intelligence
Background:
- Cochlear implants (CIs) are crucial for severe to profound hearing loss, but outcomes vary significantly.
- Variability in CI fitting is a potential cause for differing patient results.
Purpose of the Study:
- To investigate the impact of an AI software tool (FOX) on programming cochlear implants (CIs).
- To evaluate the effect of AI-assisted CI mapping on audiological outcomes in experienced CI users.
Main Methods:
- Forty-seven experienced CI patients participated in the study.
- A new CI map was generated using AI software and compared to the patient's previous manual map.
- Auditory outcomes were assessed after 15 days of using the AI-generated map.
Main Results:
- Significant improvements were observed in pure tone audiometric thresholds at 6,000 Hz (median 10 dB improvement).
- Phonemic discrimination scores improved by a median of 10%.
- Speech audiometric scores for soft-intensity and normal-intensity sounds showed median improvements of 10%.
Conclusions:
- AI-assisted CI mapping shows promise as an assistive tool for experienced CI users.
- The AI model may enhance audiological outcomes, including high-frequency hearing and speech perception at various levels.
