The current status and prospects of large language models in medical application and research-Reference-Cited by-同舟云学术

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The current status and prospects of large language models in medical application and research

Published:2024-08-01 Issue: Volume: Page:
ISSN:2520-8985
Container-title:Chinese Journal of Academic Radiology
language:en
Short-container-title:Chin J Acad Radiol

Author:

Deng Heng,Zhou Qian,Zhang Ziwei,Zhou Taohu,Lin Xiaoqing,Xia Yi,Fan Li^ORCID,Liu Shiyuan

Funder

Innovative Research Group Project of the National Natural Science Foundation of China

Key Technologies Research and Development Program

Medical imaging database construction program of National Health Comission

the clinical Innovative Project of Shanghai Changzheng Hospital

Science and Technology Innovation Plan Of Shanghai Science and Technology Commission

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s42058-024-00164-x.pdf

Reference50 articles.

1. Khurana D, et al. Natural language processing: state of the art, current trends and challenges. Multimedia Tools Appl. 2023;82(3):3713–44.

2. Moor M, et al. Foundation models for generalist medical artificial intelligence. Nature. 2023;616(7956):259–65.

3. Kaplan J et al. Scaling laws for neural language models. arXiv preprint arXiv:2001.08361, 2020.

4. Thirunavukarasu AJ, et al. Large language models in medicine. Nat Med. 2023;29(8):1930–40.

5. Radford A et al. Improving language understanding by generative pre-training. 2018.

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