Evaluating the Role of Large Language Models Detection: A Comparative Analysis of Noninvasive Testing Methods and AI-Generated Diagnoses
DOI:
https://doi.org/10.5281/zenodo.13805421Keywords:
llm, testing method, aiAbstract
Nonalcoholic fatty liver disease (NAFLD) has become a global epidemic. The coexistence of NAFLD and type 2 diabetes mellitus (T2DM) is common, and their interaction significantly heightens the risk of adverse clinical outcomes. Despite advancements in medicine, diagnosing NAFLD remains a critical challenge. Large language models (LLMs) have shown exceptional capabilities in various medical applications. However, their potential in diagnosing NAFLD has yet to be fully explored.
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Copyright (c) 2024 Yue Zhu, Ziwei Wang, Xiaoyi Zhang, Yuchen Zhang, Jiaqi Hong
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