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Related Experiment Video

Updated: Jan 29, 2026

Neuro-rehabilitation Approach for Sudden Sensorineural Hearing Loss
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Multi-model Artificial Intelligence Evaluation in Sudden Sensorineural Hearing Loss.

Aynur Aliyeva1,2, Antiga Muradova3, Ramil Hashimli4

  • 1Neuroscience Doctoral Program, Yeditepe University, Istanbul, Turkey.

Otolaryngology--Head and Neck Surgery : Official Journal of American Academy of Otolaryngology-Head and Neck Surgery
|January 28, 2026
PubMed
Summary
This summary is machine-generated.

ChatGPT-4.0 best managed sudden sensorineural hearing loss queries, showing high accuracy and user satisfaction. Claude 3.7 offered superior linguistic clarity, indicating AI's potential in otolaryngology.

Keywords:
ChatGPTClaude SonetSSHLartificial intelligencelarge language modelslinguistic analysisotolaryngology

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Area of Science:

  • Otolaryngology
  • Artificial Intelligence
  • Medical Diagnostics

Background:

  • Sudden sensorineural hearing loss (SSNHL) requires accurate and timely management.
  • Large Language Models (LLMs) show potential in clinical decision support.
  • Evaluating LLM performance in specific medical domains is crucial.

Purpose of the Study:

  • To compare diagnostic accuracy, linguistic clarity, and user satisfaction of ChatGPT-4.0, Claude 3.7 Sonnet, and OpenAI Mini 3 for SSNHL.
  • To assess the utility of LLMs in otolaryngology practice.

Main Methods:

  • Prospective, multi-domain comparative analysis with blinded expert evaluation.
  • 27 SSNHL-related questions submitted to three LLMs (ChatGPT-4.0, Claude 3.7, OpenAI Mini 3).
  • Responses evaluated by 10 otolaryngologists using QAMAI, AIPI, and AISPE-Q; linguistic complexity assessed.

Main Results:

  • ChatGPT-4.0 achieved highest clinical accuracy (QAMAI: 4.57) and satisfaction (AISPE-Q: 94%).
  • Claude 3.7 excelled in clarity and sentence complexity.
  • Strong inter-rater reliability (ICC > 0.85) and significant correlation between objective quality and subjective satisfaction (r > 0.76).

Conclusions:

  • ChatGPT-4.0 provides the most clinically relevant and satisfactory responses for SSNHL.
  • Claude 3.7 offers linguistically refined outputs.
  • Hybrid LLM approaches are supported for otolaryngology applications like patient education, diagnosis, and triage.