@inproceedings{349282eed50e480e99c6dc3c8e3998ab,
title = "How Good Is ChatGPT for Medication Evidence Synthesis?",
abstract = "With its seeming competence to mimic human responses, ChatGPT, an emerging AI-powered chatbot, has spurred great interest. This study aims to explore the role of ChatGPT in synthesizing medication literature and compare it with a hybrid summarization system. We tested ten medications' effectiveness with reference to their definitions and descriptions extracted from DrugBank. ChatGPT could generate coherent summaries that are not backed by evidence. In contrast, our approach can provide a highly structured and concise synthesis of related evidence, but the resulting summary is not as fluent and convincing as ChatGPT. Therefore, we recommend integrating both techniques to achieve the best performance.",
keywords = "ChatGPT, Natural Language Processing, Summarization",
author = "Hao Liu and Yifan Peng and Chunhua Weng",
note = "Publisher Copyright: {\textcopyright} 2023 European Federation for Medical Informatics (EFMI) and IOS Press.; 33rd Medical Informatics Europe Conference: Caring is Sharing - Exploiting the Value in Data for Health and Innovation, MIE2023 ; Conference date: 22-05-2023 Through 25-05-2023",
year = "2023",
month = may,
day = "18",
doi = "10.3233/SHTI230347",
language = "English",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press BV",
pages = "1062--1066",
editor = "Maria Hagglund and Madeleine Blusi and Stefano Bonacina and Lina Nilsson and Madsen, \{Inge Cort\} and Sylvia Pelayo and Anne Moen and Arriel Benis and Lars Lindskold and Parisis Gallos",
booktitle = "Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023",
}