Large language models for diabetes care: Potentials and prospects-Reference-Cited by-同舟云学术

Large language models for diabetes care: Potentials and prospects

Published:2024-03 Issue:5 Volume:69 Page:583-588
ISSN:2095-9273
Container-title:Science Bulletin
language:en
Short-container-title:Science Bulletin

Author:

Sheng Bin,Guan Zhouyu,Lim Lee-Ling,Jiang Zehua,Mathioudakis Nestoras,Li Jiajia,Liu Ruhan,Bao Yuqian,Bee Yong Mong,Wang Ya-Xing,Zheng Yingfeng,Tan Gavin Siew Wei,Ji Hongwei,Car Josip,Wang Haibo,Klonoff David C.,Li Huating,Tham Yih-Chung,Wong Tien Yin,Jia Weiping

Publisher

Elsevier BV

Reference16 articles.

1. IDF Diabetes Atlas: global, regional and country-level diabetes prevalence estimates for 2021 and projections for 2045;Sun;Diabetes Res Clin Pract,2022

2. Aspects of multicomponent integrated care promote sustained improvement in surrogate clinical outcomes: a systematic review and meta-analysis;Lim;Diabetes Care,2018

3. Artificial intelligence in diabetes management: advancements, opportunities, and challenges;Guan;Cell Rep Med,2023

4. Using ChatGPT to write patient clinic letters;Ali;Lancet Digit Health,2023

5. Large language models in medicine;Thirunavukarasu;Nat Med,2023

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1. Directional latent space representation for medical image segmentation;The Visual Computer;2024-08-12

2. Artificial intelligence for diabetes care: current and future prospects;The Lancet Diabetes & Endocrinology;2024-08

3. Visual–language foundation models in medicine;The Visual Computer;2024-07-29

4. Integrated image-based deep learning and language models for primary diabetes care;Nature Medicine;2024-07-19

5. Understanding natural language: Potential application of large language models to ophthalmology;Asia-Pacific Journal of Ophthalmology;2024-07