Identification and Categorization of the Top 100 Articles and the Future of Large Language Models: Thematic Analysis Using Bibliometric Analysis
While LLMs such as ChatGPT exhibit considerable potential in aiding research categorization, human oversight remains essential to address issues such as hallucinations, outdated information, and biases in AI-generated outputs. This study highlights the transformative potential of LLMs across multiple sectors and emphasizes the importance of continuous ethical evaluation and iterative improvement of AI systems to maximize their benefits while minimizing risks.
Authors
- Zachary C. Lum (ORCID: https://orcid.org/0000-0002-5871-8539)
- Ethan Bernstein
- Anya Ramsamooj (ORCID: https://orcid.org/0009-0001-0453-8807)
- Kelsey Leann Millar (ORCID: https://orcid.org/0000-0002-3559-9864)
Institutions
- California Northstate University (US)
- University of California Davis Medical Center (US)
Publication Details
- Journal
- JMIR AI
- Published
- 2025-06-28
- DOI
- https://doi.org/10.2196/68603
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00