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Evaluation of ChatGPT-Generated Educational Patient Pamphlets for Common Interventional Radiology Procedures.

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Academic Radiology
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Summary
This summary is machine-generated.

Educational pamphlets generated by ChatGPT for interventional radiology procedures show potential but contain inaccuracies. Human supervision and expert validation are crucial for patient safety with AI-generated content.

Keywords:
Chat GPTCo-occurrence network graphEducationInterventional radiologyLarge language models

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Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Healthcare
  • Patient Education

Background:

  • Large language models (LLMs) like ChatGPT are increasingly used for content generation.
  • The accuracy and reliability of AI-generated patient education materials require thorough evaluation.
  • Interventional radiology (IR) procedures necessitate clear and accurate patient information.

Purpose of the Study:

  • To assess the accuracy and reliability of patient pamphlets for IR procedures generated by ChatGPT.
  • To identify specific errors, inaccuracies, and inconsistencies in AI-generated educational content.
  • To evaluate the consistency and clinical relevance of LLM-created patient information.

Main Methods:

  • Twenty common IR procedures were selected for pamphlet generation.
  • Five users prompted ChatGPT to create pamphlets using identical commands.
  • Two independent radiologists reviewed pamphlets for content, quality, accuracy, and consistency.

Main Results:

  • 30% of pamphlets had shortcomings, with 34 specific inaccuracies identified.
  • Common errors included missing sedation information and procedural complication details.
  • Statistically significant inconsistencies were found across users and procedures (P < 0.001).

Conclusions:

  • ChatGPT-generated IR pamphlets show promise in terminology but lack complete accuracy.
  • Shortcomings and inter-user variability necessitate caution.
  • Human supervision and expert validation are essential for AI-generated patient safety materials.