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in aiding research categorization, human oversight remains essential to address issues such as hallucinations, outdated information, and biases in AI-generated outputs.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.

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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
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article

Identification and Categorization of the Top 100 Articles and the Future of Large Language Models: Thematic Analysis Using Bibliometric Analysis

Zachary C. Lum, Ethan Bernstein, Anya Ramsamooj, Kelsey Leann Millar
1 links
JMIR AI
Artificial Intelligence in Healthcare and Education
article

Identification and Categorization of the Top 100 Articles and the Future of Large Language Models: Thematic Analysis Using Bibliometric Analysis

Zachary C. Lum, Ethan Bernstein, Anya Ramsamooj, Kelsey Leann Millar
article en

Abstract

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in aiding research categorization, human oversight remains essential to address issues such as hallucinations, outdated information, and biases in AI-generated outputs.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.

JMIR AIVol. 4
California Northstate University (US), University of California Davis Medical Center (US)
Quality Education
Openalex Percentile: Top 90%
Artificial Intelligence in Healthcare and Education
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