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Artificial intelligence

ChatGPT-4 Demonstrates High Accuracy and Efficiency in Providing Tinnitus Care

Strategic Insights

— 1 min read

A recent study from Istanbul Medipol University in Turkey has evaluated the effectiveness of ChatGPT-4, an advanced AI language model, in delivering accurate and relevant information to patients managing tinnitus. Ten ENT specialists rated ChatGPT-4's responses across multiple metrics, demonstrating high accuracy (mean = 85.5%), relevance (mean = 90.13%), and clarity (mean = 83.93%). The study concluded that ChatGPT-4 provides accurate, timely, and patient-friendly information for tinnitus care, supporting its potential as an adjunct to conventional patient education. This AI tool could bridge gaps in healthcare access, particularly in resource-limited settings, enhancing patient support through accessible and reliable guidance.

Key Takeaways:

  • ChatGPT-4 demonstrated high accuracy (mean = 85.5%) in providing information on tinnitus care.
  • Relevance (mean = 90.13%) and clarity (mean = 83.93%) of ChatGPT-4's responses were also high.
  • Response times were consistently efficient (mean = 84.2%), with sensitivity and specificity estimated at 90% and 95%, respectively.
  • Inter-rater reliability analysis yielded moderate to substantial agreement (Cohen's kappa = 0.65-0.78), and effect size analysis indicated a large impact.
  • ChatGPT-4 supports its potential as an adjunct to conventional patient education for tinnitus care.
  • The study concluded that ChatGPT-4 could bridge gaps in healthcare access in resource-limited settings.

Statistics:

  • Mean accuracy of ChatGPT-4's responses: 85.5%
  • Mean relevance of ChatGPT-4's responses: 90.13%
  • Mean clarity of ChatGPT-4's responses: 83.93%
  • Reaction time of ChatGPT-4: 84.2%
  • Sensitivity of ChatGPT-4: 90%
  • Specificity of ChatGPT-4: 95%
  • Inter-rater reliability (Cohen's kappa): 0.65-0.78
  • Effect size of ChatGPT-4: large

Sources:

  • Artificial intelligence -assisted tinnitus support with ChatGPT-4. European Archives of Oto-Rhino-Laryngology, 2025.
  • Elvin Alaskarov, Dept. of Otolaryngology, Istanbul Medipol University Health Care Practice and Research Center Esenler Hospital, Istanbul, Turkey.
  • Istanbul Medipol University.
  • European Archives of Oto-Rhino-Laryngology.

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