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.
Institutions
- 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)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-09-20
- DOI
- https://doi.org/10.5281/zenodo.13805420
- Primary Topic
- Histone Deacetylase Inhibitors Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00