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Related Experiment Video

Updated: Sep 11, 2025

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Evaluating a Chatbot as a Companion for Patients With Breast Cancer: Collaborative Pilot Study.

Sebastian Daniel Boie1, Esther Glastetter1, Michael Patrick Lux2

  • 1Pfizer Pharma GmbH, Friedrichstr. 110, Berlin, 10117, Germany, 49 15152377580.

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Summary
This summary is machine-generated.

An AI chatbot using GPT-4 provided personalized, accurate health information for German breast cancer patients. While largely effective, human oversight is crucial for completeness and safety.

Keywords:
Gen AIGenerative artificial intelligenceRAGRetrieval-augmented generationbreast cancerchatbotpatient information

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Area of Science:

  • Artificial Intelligence in Oncology
  • Natural Language Processing for Healthcare
  • Patient Information Systems

Background:

  • Breast cancer patients require personalized, reliable information for treatment adherence.
  • Existing resources struggle to provide tailored responses, especially for non-English speakers.
  • Information gaps hinder patient understanding and adherence to care plans.

Purpose of the Study:

  • To evaluate an AI chatbot (GPT-4 with retrieval-augmented generation) for answering German breast cancer patient questions.
  • To assess the chatbot's ability to deliver personalized and linguistically accessible information.
  • To determine the accuracy, comprehensibility, and safety of AI-generated responses.

Main Methods:

  • Collected 118 authentic patient questions from a German breast cancer patient group.
  • Selected 104 questions across 7 categories and configured GPT-4 with specific prompts.
  • Evaluated responses for comprehensibility, correctness, completeness, and potential harm using expert and patient ratings.
  • Integrated a database of German medical guidelines and patient materials.

Main Results:

  • The AI chatbot achieved high ratings: 85.6% comprehensibility, 87.5% correctness, 69.2% completeness, and 89.4% non-harmful responses.
  • Incomplete answers often omitted reimbursement details or nuanced therapeutic recommendations.
  • 6% of responses were rated potentially harmful due to outdated or inappropriate information.
  • The chatbot performed well in nutrition and bone health categories.

Conclusions:

  • AI chatbots with GPT-4 and retrieval augmentation can provide valuable, personalized information to German breast cancer patients.
  • This technology shows promise for enhancing patient-centered communication and informed decision-making.
  • Limitations in completeness and potential harm necessitate ongoing human oversight and further development.
  • Future work should focus on updated databases, advanced retrieval, and clear disclaimers for safe implementation.