Evaluating the Role of Large Language Models Detection: A Comparative Analysis of Noninvasive Testing Methods and AI-Generated Diagnoses

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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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-20
DOI
https://doi.org/10.5281/zenodo.13805421
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
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article

Evaluating the Role of Large Language Models Detection: A Comparative Analysis of Noninvasive Testing Methods and AI-Generated Diagnoses

Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare
article

Evaluating the Role of Large Language Models Detection: A Comparative Analysis of Noninvasive Testing Methods and AI-Generated Diagnoses

article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Albert Einstein College of Medicine (US), Georgia Institute of Technology (US), China Academy of Art (CN), Jacobi Medical Center (US), Jefferson Einstein Philadelphia Hospital (US), Chinese University of Hong Kong, Shenzhen (CN), District of Columbia Public School (US)
Good health and well-being
Openalex Percentile: Top 49%
Artificial Intelligence in Healthcare
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