How to use large language models in ophthalmology: from prompt engineering to protecting confidentiality

被引:10
|
作者
Kleinig, Oliver [1 ,2 ]
Gao, Christina [1 ,2 ]
Kovoor, Joshua G. [1 ,2 ]
Gupta, Aashray K. [2 ,3 ]
Bacchi, Stephen [1 ,2 ,4 ]
Chan, Weng Onn [1 ,2 ]
机构
[1] Royal Adelaide Hosp, Adelaide, SA, Australia
[2] Univ Adelaide, Adelaide, SA, Australia
[3] Gold Coast Univ Hosp, Gold Coast, Qld, Australia
[4] Flinders Univ Adelaide, Adelaide, SA, Australia
关键词
D O I
10.1038/s41433-023-02772-w
中图分类号
R77 [眼科学];
学科分类号
100212 ;
摘要
引用
收藏
页码:649 / 653
页数:5
相关论文
共 50 条
  • [1] How to use large language models in ophthalmology: from prompt engineering to protecting confidentiality
    Oliver Kleinig
    Christina Gao
    Joshua G. Kovoor
    Aashray K. Gupta
    Stephen Bacchi
    Weng Onn Chan
    [J]. Eye, 2024, 38 : 649 - 653
  • [2] Prompt Engineering: Guiding the Way to Effective Large Language Models
    Aljanabi M.
    Yaseen M.G.
    Ali A.H.
    Mohammed M.A.
    [J]. Iraqi Journal for Computer Science and Mathematics, 2023, 4 (04): : 151 - 155
  • [3] Enhancing user prompt confidentiality in Large Language Models through advanced differential encryption
    Gupta, Brij B.
    Gaurav, Akshat
    Arya, Varsha
    Alhalabi, Wadee
    Alsalman, Dheyaaldin
    Vijayakumar, P.
    [J]. COMPUTERS & ELECTRICAL ENGINEERING, 2024, 116
  • [4] To prompt or not to prompt: Navigating the use of Large Language Models for integrating and modeling heterogeneous data
    Remadi, Adel
    El Hage, Karim
    Hobeika, Yasmina
    Bugiotti, Francesca
    [J]. DATA & KNOWLEDGE ENGINEERING, 2024, 152
  • [5] Prompt Optimization in Large Language Models
    Sabbatella, Antonio
    Ponti, Andrea
    Giordani, Ilaria
    Candelieri, Antonio
    Archetti, Francesco
    [J]. MATHEMATICS, 2024, 12 (06)
  • [6] Large Language Models and the Shoreline of Ophthalmology
    Young, Benjamin K.
    Zhao, Peter Y.
    [J]. JAMA OPHTHALMOLOGY, 2024, 142 (04) : 375 - 376
  • [7] Large language models and their impact in ophthalmology
    Betzler, Bjorn Kaijun
    Chen, Haichao
    Cheng, Ching -Yu
    Lee, Cecilia S.
    Ning, Guochen
    Song, Su Jeong
    Lee, Aaron Y.
    Kawasaki, Ryo
    van Wijngaarden, Peter
    Grzybowski, Andrzej
    He, Mingguang
    Li, Dawei
    Ran, An Ran
    Ting, Daniel Shu Wei
    Teo, Kelvin
    Ruamviboonsuk, Paisan
    Sivaprasad, Sobha
    Chaudhary, Varun
    Tadayoni, Ramin
    Wang, Xiaofei
    Cheung, Carol Y.
    Zheng, Yingfeng
    Wang, Ya Xing
    Tham, Yih Chung
    Wong, Tien Yin
    [J]. LANCET DIGITAL HEALTH, 2023, 5 (12): : E917 - E924
  • [8] Prompt engineering on leveraging large language models in generating response to InBasket messages
    Yan, Sherry
    Knapp, Wendi
    Leong, Andrew
    Kadkhodazadeh, Sarira
    Das, Souvik
    Jones, Veena G.
    Clark, Robert
    Grattendick, David
    Chen, Kevin
    Hladik, Lisa
    Fagan, Lawrence
    Chan, Albert
    [J]. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2024, 31 (10) : 2263 - 2270
  • [9] Prompt Engineering: Unleashing the Power of Large Language Models to Defend Against Social Engineering Attacks
    Nezer, Ahmed I.
    Nema, Bashar M.
    Salim, Wisam Makki
    [J]. Iraqi Journal for Computer Science and Mathematics, 2024, 5 (03): : 404 - 416
  • [10] Improving large language models for clinical named entity recognition via prompt engineering
    Hu, Yan
    Chen, Qingyu
    Du, Jingcheng
    Peng, Xueqing
    Keloth, Vipina Kuttichi
    Zuo, Xu
    Zhou, Yujia
    Li, Zehan
    Jiang, Xiaoqian
    Lu, Zhiyong
    Roberts, Kirk
    Xu, Hua
    [J]. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2024, 31 (09)