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  1. Home
  2. Artificial Intelligence-generated Responses To Frequently Asked Questions On Coccydynia: Evaluating The Accuracy And Consistency Of Gpt-4o's Performance.
  1. Home
  2. Artificial Intelligence-generated Responses To Frequently Asked Questions On Coccydynia: Evaluating The Accuracy And Consistency Of Gpt-4o's Performance.

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Artificial intelligence-generated responses to frequently asked questions on coccydynia: Evaluating the accuracy and

Aslinur Keles1, Ozge Gulsum Illeez1, Berkay Erbagci1

  • 1Department of Physical Medicine and Rehabilitation, Health Science University, Fatih Sultan Mehmet Training and Research Hospital, İstanbul, Türkiye.

Archives of Rheumatology
|April 23, 2025

View abstract on PubMed

Summary
This summary is machine-generated.
Keywords:
Artificial intelligenceChatGPT-4ococcydyniacoccyx painlarge language models.

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GPT-4o provides mostly accurate coccydynia information but shows inconsistencies in repeated queries. While useful for patient education, it requires human oversight for specialized clinical knowledge.

Area of Science:

  • Artificial Intelligence in Medicine
  • Medical Informatics
  • Natural Language Processing

Background:

  • Patient-centered questions regarding coccydynia are common.
  • Assessing the accuracy and consistency of AI-generated medical information is crucial for patient safety and education.

Purpose of the Study:

  • To evaluate the accuracy and consistency of GPT-4o's responses to frequently asked questions about coccydynia.
  • To determine the reliability of AI chatbots for providing medical information to patients.

Main Methods:

  • Collected patient-centered coccydynia questions from various online sources.
  • Evaluated GPT-4o responses for accuracy and completeness by two physiatrists.
  • Assessed response consistency across multiple queries and reviewers using statistical analysis.

Main Results:

  • 45.7% of GPT-4o responses were correct and comprehensive; 49.4% were correct but incomplete.
  • No responses were completely incorrect, but 75% differed between query rounds.
  • Interreviewer agreement was substantial (kappa=0.67).

Conclusions:

  • GPT-4o demonstrates potential for accurate coccydynia information dissemination.
  • Response variability highlights the need for human oversight in clinical applications.
  • AI chatbots can serve as a supplementary tool for patient education on coccydynia.