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A literature review on the role of artificial intelligence-based chatbots in patient education in colorectal surgery

  • 0Servicio de Cirugía General y Digestiva. Complejo Hospitalario Universitario Materno Infantil de Gran Canaria, Las Palmas de Gran Canaria, Spain.
Surgery +

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May 10, 2025

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May 10, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

AI chatbots can enhance patient education for common colorectal disease questions but are not suitable for complex medical issues. These tools should complement, not replace, healthcare provider guidance.

Area Of Science

  • Medical Informatics
  • Artificial Intelligence in Healthcare
  • Surgical Education

Background

  • AI chatbots are increasingly used for patient education in colorectal diseases.
  • Concerns exist regarding the appropriateness and accuracy of chatbot-generated medical information.
  • Previous studies have explored chatbot utility across various clinical disciplines.

Purpose Of The Study

  • To review and summarize existing literature on AI chatbots for patient education in colorectal surgery.
  • To identify the strengths and limitations of chatbots in this specific medical domain.

Main Methods

  • A systematic literature search was conducted in MEDLINE (PubMed) and Scopus.
  • Studies published up to February 2025 were included, focusing on AI chatbots for colorectal disease patient education.
  • Articles were categorized by condition: colorectal cancer, inflammatory bowel diseases, and other colorectal conditions.

Main Results

  • Fifteen studies were identified, covering colorectal cancer (9), inflammatory bowel diseases (4), benign anal conditions (1), and intestinal stomas (1).
  • Chatbots, especially ChatGPT, show potential in improving patient access to information for common queries.
  • Limitations were noted in addressing complex medical issues, indicating a supplementary role for chatbots.

Conclusions

  • Chatbots are beneficial for basic patient education in colorectal conditions but not for complex or personalized medical advice.
  • Future research should aim to improve chatbot accuracy and response depth.
  • Chatbots should augment, not substitute, the essential role of healthcare professionals in patient care.