%0 Journal Article
%T Development of AI-generated medical responses using the ChatGPT for cancer patients.
%A Lee JW
%A Yoo IS
%A Kim JH
%A Kim WT
%A Jeon HJ
%A Yoo HS
%A Shin JG
%A Kim GH
%A Hwang S
%A Park S
%A Kim YJ
%J Comput Methods Programs Biomed
%V 254
%N 0
%D 2024 Sep 26
%M 38996805
%F 7.027
%R 10.1016/j.cmpb.2024.108302
%X <B>OBJECTIVE: </B>To develop a healthcare chatbot service (AI-guided bot) that conducts real-time conversations using large language models to provide accurate health information to patients.<BR><B>METHODS: </B>To provide accurate and specialized medical responses, we integrated several cancer practice guidelines. The size of the integrated meta-dataset was 1.17 million tokens. The integrated and classified metadata were extracted, transformed into text, segmented to specific character lengths, and vectorized using the embedding model. The AI-guide bot was implemented using Python 3.9. To enhance the scalability and incorporate the integrated dataset, we combined the AI-guide bot with OpenAI and the LangChain framework. To generate user-friendly conversations, a language model was developed based on Chat-Generative Pretrained Transformer (ChatGPT), an interactive conversational chatbot powered by GPT-3.5. The AI-guide bot was implemented using ChatGPT3.5 from Sep. 2023 to Jan. 2024.<BR><B>RESULTS: </B>The AI-guide bot allowed users to select their desired cancer type and language for conversational interactions. The AI-guided bot was designed to expand its capabilities to encompass multiple major cancer types. The performance of the AI-guide bot responses was 90.98 ± 4.02 (obtained by summing up the Likert scores).<BR><B>CONCLUSIONS: </B>The AI-guide bot can provide medical information quickly and accurately to patients with cancer who are concerned about their health.