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Accuracy and usability of artificial intelligence chatbot generated chemotherapy protocols.

Efe Cem Erdat1, Merih Yalciner1, Yuksel Urun1

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Artificial intelligence (AI) chatbots show limited accuracy in generating chemotherapy protocols. While AI offers potential, current performance is low, requiring careful use in oncology.

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Area of Science:

  • Oncology
  • Medical Informatics
  • Artificial Intelligence

Background:

  • Medical practitioners increasingly use AI chatbots for rapid information retrieval.
  • The accuracy and availability of AI-generated chemotherapy protocols remain unstudied.
  • This research addresses a critical gap in understanding AI's role in cancer treatment planning.

Purpose of the Study:

  • To evaluate the accuracy and availability of chemotherapy protocols generated by AI chatbots.
  • To compare the performance of different AI models in generating oncological treatment plans.
  • To assess the potential and limitations of AI chatbots in clinical oncology.

Main Methods:

  • Nine simulated cancer patient cases were developed.
  • AI chatbots, ChatGPT (version 3.5) and Bing, generated chemotherapy protocols for each case.
  • Generated protocols were compared against established treatment plans.

Main Results:

  • ChatGPT achieved a 5/9 accuracy rate, while Bing achieved a 4/9 accuracy rate.
  • The difference in performance between the two AI chatbots was not statistically significant (p=1).
  • Both AI chatbots demonstrated both capabilities and shortcomings in protocol generation.

Conclusions:

  • AI chatbots have potential but significant limitations in generating chemotherapy protocols.
  • Current AI performance is insufficient for routine use in oncological practice.
  • Careful consideration and validation are essential when employing AI chatbots for chemotherapy planning.