Personalized Medicine in Urolithiasis: AI Chatbot-Assisted Dietary Management of Oxalate for Kidney Stone Prevention
Issued Date
2024-01-01
Resource Type
eISSN
20754426
Scopus ID
2-s2.0-85183133170
Journal Title
Journal of Personalized Medicine
Volume
14
Issue
1
Rights Holder(s)
SCOPUS
Bibliographic Citation
Journal of Personalized Medicine Vol.14 No.1 (2024)
Suggested Citation
Aiumtrakul N., Thongprayoon C., Arayangkool C., Vo K.B., Wannaphut C., Suppadungsuk S., Krisanapan P., Garcia Valencia O.A., Qureshi F., Miao J., Cheungpasitporn W. Personalized Medicine in Urolithiasis: AI Chatbot-Assisted Dietary Management of Oxalate for Kidney Stone Prevention. Journal of Personalized Medicine Vol.14 No.1 (2024). doi:10.3390/jpm14010107 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/95851
Title
Personalized Medicine in Urolithiasis: AI Chatbot-Assisted Dietary Management of Oxalate for Kidney Stone Prevention
Corresponding Author(s)
Other Contributor(s)
Abstract
Accurate information regarding oxalate levels in foods is essential for managing patients with hyperoxaluria, oxalate nephropathy, or those susceptible to calcium oxalate stones. This study aimed to assess the reliability of chatbots in categorizing foods based on their oxalate content. We assessed the accuracy of ChatGPT-3.5, ChatGPT-4, Bard AI, and Bing Chat to classify dietary oxalate content per serving into low (<5 mg), moderate (5–8 mg), and high (>8 mg) oxalate content categories. A total of 539 food items were processed through each chatbot. The accuracy was compared between chatbots and stratified by dietary oxalate content categories. Bard AI had the highest accuracy of 84%, followed by Bing (60%), GPT-4 (52%), and GPT-3.5 (49%) (p < 0.001). There was a significant pairwise difference between chatbots, except between GPT-4 and GPT-3.5 (p = 0.30). The accuracy of all the chatbots decreased with a higher degree of dietary oxalate content categories but Bard remained having the highest accuracy, regardless of dietary oxalate content categories. There was considerable variation in the accuracy of AI chatbots for classifying dietary oxalate content. Bard AI consistently showed the highest accuracy, followed by Bing Chat, GPT-4, and GPT-3.5. These results underline the potential of AI in dietary management for at-risk patient groups and the need for enhancements in chatbot algorithms for clinical accuracy.