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Related Experiment Video

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Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant
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Developing an AI-Assisted Educational Chatbot for Radiotherapy Using the IBM Watson Assistant Platform.

James C L Chow1,2, Valerie Wong3, Leslie Sanders4

  • 1Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 1X6, Canada.

Healthcare (Basel, Switzerland)
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An AI chatbot makes radiotherapy knowledge accessible to the public. This tool provides information and quizzes, improving understanding of radiation therapy through user-friendly communication.

Keywords:
ChatGPTartificial intelligencehealthcaremedical chatbotpatient educationradiotherapy

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Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Healthcare
  • Patient Education

Background:

  • Public access to radiotherapy information is limited.
  • Patients often struggle to understand complex medical information.
  • AI offers a potential solution for accessible health education.

Purpose of the Study:

  • To develop an AI-powered chatbot for public radiotherapy knowledge dissemination.
  • To enhance user understanding of radiotherapy through interactive communication.
  • To create a user-friendly platform for accessing radiotherapy information.

Main Methods:

  • Development of an AI chatbot using IBM Watson Assistant.
  • Utilized a pre-designed flowchart for conversation flow and tracking.
  • Integrated information delivery and quizzes on radiotherapy topics.

Main Results:

  • The chatbot provides human-like communication for radiotherapy queries.
  • A user-friendly interface with pre-defined questions aids anxious users.
  • The chatbot successfully conveyed knowledge with positive user feedback.

Conclusions:

  • Enhancements to the chatbot's conversational approach are recommended.
  • Incorporating translation features would broaden accessibility.
  • Exploring advanced AI like ChatGPT for medical chatbots is promising.