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Evaluating the Relationship Between Electrical Dynamic Range and Speech Perception Outcomes in Experienced Post-Lingually Deaf Adult Cochlear Implant Users: A Bicentric Study.

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ChatGPT and Microsoft Copilot for Cochlear Implant Side Selection: A Preliminary Study.

Daniele Portelli1, Sabrina Loteta1, Mariangela D'Angelo1

  • 1Unit of Otorhinolaryngology, Department of Adult and Development Age Human Pathology "Gaetano Barresi", University of Messina, 98125 Messina, ME, Italy.

Audiology Research
|August 27, 2025
PubMed
Summary
This summary is machine-generated.

Microsoft Copilot and ChatGPT-4 show promise in guiding cochlear implant (CI) side selection. Copilot excelled at determining the correct implantation side, while ChatGPT-4 demonstrated superior accuracy in identifying radiological findings and tinnitus.

Keywords:
artificial intelligencecochlear implantsgenerative artificial intelligencehearing aidssensorineural hearing losstinnitus

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Area of Science:

  • Otolaryngology
  • Artificial Intelligence
  • Medical Imaging
  • Audiology

Background:

  • Artificial Intelligence (AI) is increasingly integrated into otolaryngology, particularly for cochlear implant (CI) candidacy evaluation.
  • Accurate determination of the appropriate cochlear implant side is crucial for optimal patient outcomes.
  • Evaluating AI tools for their ability to interpret complex patient data, including audiological and radiological information, is essential.

Purpose of the Study:

  • To assess the accuracy and completeness of ChatGPT-4 and Microsoft Copilot in selecting the correct cochlear implant side.
  • To compare the performance of ChatGPT-4 and Microsoft Copilot in interpreting audiological data, radiological findings, and tinnitus presence.
  • To evaluate the potential of AI as a clinical decision support tool in cochlear implant surgery.

Main Methods:

  • Data from 22 cochlear implant patients, including audiometric thresholds, hearing aid benefit, tinnitus status, and radiological findings, were used.
  • Both ChatGPT-4 and Microsoft Copilot were queried with patient data to determine the recommended implantation side.
  • AI-generated recommendations were compared against clinician-chosen sides, with accuracy and completeness assessed by independent reviewers.

Main Results:

  • Microsoft Copilot demonstrated higher accuracy in recommending the correct implantation side (75% for right, 90% for left) compared to ChatGPT-4 (50% for right, 70% for left).
  • ChatGPT-4 showed superior performance in identifying radiological alterations (60%) and tinnitus presence (77.8%) compared to Microsoft Copilot (40% and 66.7%, respectively).
  • Both AI models showed statistically significant agreement with clinician decisions (p < 0.05), with ChatGPT-4 exhibiting better inter-reviewer reliability.

Conclusions:

  • Both AI models, ChatGPT-4 and Microsoft Copilot, align significantly with clinical decisions regarding cochlear implant side selection.
  • Microsoft Copilot is more accurate for determining the implantation side, whereas ChatGPT-4 excels in recognizing radiological details and tinnitus.
  • AI tools show potential as clinical decision support systems for cochlear implant candidacy, warranting further investigation for complex cases.