Can artificial intelligence provide accurate and reliable answers to cancer patients’ questions about cancer pain? Comparison of chatbots based on ESMO cancer pain guideline
- 26.01.2024
- original report
- Verfasst von
- Kadriye Bir Yücel, MD
- Osman Sutcuoglu, MD
- Ozan Yazıcı, MD
- Ahmet Ozet, MD
- Nuriye Ozdemir, MD
- Erschienen in
- memo - Magazine of European Medical Oncology | Ausgabe 4/2024
Summary
Purpose
The purpose of this study was to assess the accuracy, readability, and stability of the answers given by chatbots to patients’ questions about cancer pain management.
Materials and methods
Twenty questions about cancer pain were constructed based on the European Society of Medical Oncology (ESMO) cancer pain patient guide. These questions were asked to five chatbots: Google Bard (Google AI, USA), ChatGPT‑4 (Chat Generative Pre-trained Transforme, OpenAI, USA) (premium version), ChatGPT‑3.5 (free version), Perplexity (Perplexity AI, USA), and Chatsonic (WriteSonic, USA). Three medical oncologists with at least 10 years of experience evaluated the chatbots’ responses for accuracy, readability, and stability.
Results
ChatGPT-4 had the highest accuracy rate of 96%. Perplexity had the highest readability but the lowest accuracy (86%). Google Bard and ChatGPT‑4 were the most stable (100%) chatbots. Both versions of ChatGPT appeared to provide extensive information, but the answers only included information before September 2021.
Conclusion
All chatbots are insufficient to obtain accurate information for cancer patients, and the resources are quite inadequate in acquiring accurate information for cancer patients and their families, and they need further development.
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- Titel
- Can artificial intelligence provide accurate and reliable answers to cancer patients’ questions about cancer pain? Comparison of chatbots based on ESMO cancer pain guideline
- Verfasst von
-
Kadriye Bir Yücel, MD
Osman Sutcuoglu, MD
Ozan Yazıcı, MD
Ahmet Ozet, MD
Nuriye Ozdemir, MD
- Publikationsdatum
- 26.01.2024
- Verlag
- Springer Vienna
- Erschienen in
-
memo - Magazine of European Medical Oncology / Ausgabe 4/2024
Print ISSN: 1865-5041
Elektronische ISSN: 1865-5076 - DOI
- https://doi.org/10.1007/s12254-023-00954-6
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