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Related Experiment Video

Updated: Aug 23, 2025

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Learning the Treatment Process in Radiotherapy Using an Artificial Intelligence-Assisted Chatbot: Development Study.

Nathanael Rebelo1, Leslie Sanders2, Kay Li3

  • 1Department of Physics, Toronto Metropolitan University, Toronto, ON, Canada.

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|November 3, 2022
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Summary
This summary is machine-generated.

A new AI-powered chatbot provides clear, accurate information on radiation therapy for cancer patients and their families. This virtual assistant enhances knowledge transfer during stressful times, offering support and guidance through the treatment process.

Keywords:
artificial intelligencecancer therapychatbotcommunicationdiagnosishealth careinternet of thingsmachine learningmedical physicsradiation oncologyradiation treatment processradiotherapy chain

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Area of Science:

  • Artificial Intelligence in Healthcare
  • Medical Informatics
  • Cancer Patient Education

Background:

  • Existing cancer health information online lacks interactivity and personalization.
  • Patients and families need efficient, accurate information during stressful health crises.
  • Comprehensive radiotherapy information is often missing, particularly for older patients.

Purpose of the Study:

  • To develop a novel virtual assistant (chatbot) for explaining the radiation treatment process.
  • To provide accurate, comprehensive, and accessible information on radiotherapy.
  • To address the need for personalized support for cancer patients and their families.

Main Methods:

  • Developed an AI-powered chatbot using IBM Watson Assistant.
  • Utilized natural language processing (NLP) for conversational flow and user response recognition.
  • Incorporated the chatbot into an easily accessible public website.

Main Results:

  • The chatbot effectively guides users through the radiation treatment process.
  • It can answer questions and provide resources for information not directly programmed.
  • User testing indicated excellent overall performance metrics, with feedback mechanisms for improvement.

Conclusions:

  • An AI-assisted chatbot successfully facilitates knowledge transfer about radiation treatment.
  • The machine learning-supported bot effectively delivers radiotherapy information to patients, families, and the public.
  • This tool offers a valuable resource for cancer patient education and support.