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arXiv Open Access 2025

The Evolving Landscape of Generative Large Language Models and Traditional Natural Language Processing in Medicine

Rui Yang Huitao Li Matthew Yu Heng Wong Yuhe Ke Xin Li +10 lainnya
Lihat Sumber

Abstrak

Natural language processing (NLP) has been traditionally applied to medicine, and generative large language models (LLMs) have become prominent recently. However, the differences between them across different medical tasks remain underexplored. We analyzed 19,123 studies, finding that generative LLMs demonstrate advantages in open-ended tasks, while traditional NLP dominates in information extraction and analysis tasks. As these technologies advance, ethical use of them is essential to ensure their potential in medical applications.

Topik & Kata Kunci

cs.CL cs.AI

Penulis (15)

R

Rui Yang

H

Huitao Li

M

Matthew Yu Heng Wong

Y

Yuhe Ke

X

Xin Li

K

Kunyu Yu

J

Jingchi Liao

J

Jonathan Chong Kai Liew

S

Sabarinath Vinod Nair

J

Jasmine Chiat Ling Ong

I

Irene Li

D

Douglas Teodoro

C

Chuan Hong

D

Daniel Shu Wei Ting

N

Nan Liu

Format Sitasi

APA MLA BibTeX
Yang, R., Li, H., Wong, M.Y.H., Ke, Y., Li, X., Yu, K. et al. (2025). The Evolving Landscape of Generative Large Language Models and Traditional Natural Language Processing in Medicine. https://arxiv.org/abs/2505.10261

Akses Cepat

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Informasi Jurnal
Tahun Terbit
2025
Bahasa
en
Sumber Database
arXiv
Akses
Open Access ✓