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Using ChatGPT to Improve Readability of Interventional Radiology Procedure Descriptions.

Hossam A Zaki1, Michelle Mai2, Hazem Abdel-Megid2

  • 1Department of Diagnostic Imaging, The Warren Alpert Medical School of Brown University/Rhode Island Hospital, Providence, RI, USA. hossam_zaki@brown.edu.

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Summary
This summary is machine-generated.

ChatGPT can improve interventional radiology (IR) procedure readability for patients. However, it reduces the reliability of the educational materials, necessitating human oversight for optimal patient communication.

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Area of Science:

  • Medical Education
  • Artificial Intelligence in Healthcare
  • Patient Communication

Background:

  • Patient educational materials for interventional radiology (IR) procedures often have low readability.
  • Improving the accessibility of complex medical information is crucial for patient understanding and engagement.

Purpose of the Study:

  • To evaluate ChatGPT's effectiveness in enhancing the readability of interventional radiology procedure descriptions.
  • To assess the impact of AI-driven simplification on the credibility and reliability of patient educational materials.

Main Methods:

  • Utilized 73 interventional radiology procedure descriptions from the Cardiovascular and Interventional Radiological Society of Europe (CIRSE).
  • Assessed readability using Flesch Reading Ease (FRE), Gunning Fog (GF), and Automated Readability Index (ARI).
  • Measured content credibility with the DISCERN instrument before and after ChatGPT simplification to a fifth-grade reading level.

Main Results:

  • ChatGPT significantly improved readability scores: FRE increased from 47.2 to 78.4, while GF and ARI scores decreased substantially (p < 0.001).
  • Despite readability gains, the average DISCERN score decreased from 3.73 to 2.99 (p < 0.001), indicating a reduction in perceived reliability.
  • Statistical analysis confirmed significant improvements in readability and a significant decline in reliability post-simplification.

Conclusions:

  • ChatGPT effectively enhances the readability of interventional radiology patient materials.
  • AI simplification poses a risk to the reliability and credibility of medical information.
  • Human review and refined prompt engineering are essential to balance readability improvements with content accuracy.