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Artificial intelligence and patient education.

Olivia Paluszek1, Stacy Loeb

  • 1SUNY Downstate, New York University Langone Health and the Manhattan Veterans Affairs, New York, New York, USA.

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|February 13, 2025
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Summary
This summary is machine-generated.

Artificial intelligence (AI) chatbots show promise for patient education in urology. While current AI chatbot responses are often accurate, they require improved readability and expert review for optimal use in patient information materials.

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Area of Science:

  • Medical Informatics
  • Digital Health
  • Artificial Intelligence in Medicine

Background:

  • Artificial intelligence (AI) chatbots are emerging as accessible information sources.
  • Their application in healthcare, specifically patient education, is a growing area of research.

Purpose of the Study:

  • To review the existing literature on the use of AI chatbots for patient education in urology.
  • To assess the current capabilities and limitations of AI chatbots in this domain.

Main Methods:

  • Literature review of studies examining AI chatbot use for patient education.
  • Analysis of chatbot response quality, accuracy, and readability.
  • Exploration of AI chatbot applications beyond direct patient interaction, such as content generation.

Main Results:

  • Numerous studies evaluate AI chatbot (e.g., ChatGPT) accuracy, often finding it acceptable.
  • Chatbot responses frequently exhibit suboptimal readability without specific prompting.
  • Emerging applications include generating lay summaries and patient handouts.

Conclusions:

  • AI chatbots offer potential as supplementary patient education tools in urology.
  • Improving response readability through specific prompts is crucial for effective implementation.
  • AI chatbots can expedite the creation of patient education materials for expert validation.