Authors: Huizi Yu, Lizhou Fan, Lingyao Li, Jiayan Zhou, Zihui Ma, Lu Xian, Wenyue Hua, Sijia He, Mingyu Jin, Yongfeng Zhang, Ashvin Gandhi, Xin Ma

Published on: March 24, 2024

Impact Score: 7.8

Arxiv code: Arxiv:2403.16303

Summary

• What is new: This bibliometric review provides a panoramic view of the application of Large Language Models (LLMs) in Biomedical and Health Informatics (BHI) from 2022 to 2023, highlighting new trends and developments.
• Why this is important: The paper addresses the challenge of analyzing and understanding the current and future impact of LLMs on various aspects of BHI, including medical diagnosis, patient engagement, and more.
• What the research proposes: By conducting a bibliometric review that examines research articles and collaboration networks, the paper maps out how LLMs are currently used and can be further leveraged in BHI.
• Results: The review identifies key trends in the application of LLMs in BHI, outlines the major developments, and discusses ethical concerns and practical challenges of their use.

Technical Details

Technological frameworks used: nan

Models used: Large Language Models (LLMs)

Data used: Research articles and collaboration networks from 2022 to 2023

Potential Impact

Healthcare providers, medical research organizations, health informatics companies, electronic health record vendors, and policy makers.

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