基于大语言模型的聊天机器人解决方案在妊娠糖尿病护理中辅助咨询的潜力。

IF 4.1 Q2 ENDOCRINOLOGY & METABOLISM
Lukas Lindstrøm, Mia Clausen, Nina Albrektsen Jensen, Maria Hartman Nielsen, Amar Nikontovic, Simon Lebech Cichosz
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The Potential of Large Language Model-Based Chatbot Solutions for Supplementary Counseling in Gestational Diabetes Care.
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来源期刊
Journal of Diabetes Science and Technology
Journal of Diabetes Science and Technology Medicine-Internal Medicine
CiteScore
7.50
自引率
12.00%
发文量
148
期刊介绍: The Journal of Diabetes Science and Technology (JDST) is a bi-monthly, peer-reviewed scientific journal published by the Diabetes Technology Society. JDST covers scientific and clinical aspects of diabetes technology including glucose monitoring, insulin and metabolic peptide delivery, the artificial pancreas, digital health, precision medicine, social media, cybersecurity, software for modeling, physiologic monitoring, technology for managing obesity, and diagnostic tests of glycation. The journal also covers the development and use of mobile applications and wireless communication, as well as bioengineered tools such as MEMS, new biomaterials, and nanotechnology to develop new sensors. Articles in JDST cover both basic research and clinical applications of technologies being developed to help people with diabetes.
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