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Large Language Models in Biomedical and Health Informatics: A Bibliometric Review
March 26, 2024, 4:51 a.m. | Huizi Yu, Lizhou Fan, Lingyao Li, Jiayan Zhou, Zihui Ma, Lu Xian, Wenyue Hua, Sijia He, Mingyu Jin, Yongfeng Zhang, Ashvin Gandhi, Xin Ma
cs.CL updates on arXiv.org arxiv.org
Abstract: Large Language Models (LLMs) have rapidly become important tools in Biomedical and Health Informatics (BHI), enabling new ways to analyze data, treat patients, and conduct research. This bibliometric review aims to provide a panoramic view of how LLMs have been used in BHI by examining research articles and collaboration networks from 2022 to 2023. It further explores how LLMs can improve Natural Language Processing (NLP) applications in various BHI areas like medical diagnosis, patient engagement, …
abstract analyze arxiv become biomedical cs.ai cs.cl cs.dl cs.si data enabling health language language models large language large language models llms patients research review tools type view
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