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您的检索式：作者名="Nestoras Mathioudakis"
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| 1 | 基于大语言模型的糖尿病管理:潜力与展望显示文摘The increasing prevalence of diabetes has become a global public health concern in the 21st century.In 2021,it was estimated that 537 million people had diabetes,and this number is projected to reach 643 million by 2030,and 783 million by 2045[1].Such a huge burden of diabetes brings great challenges in its prevention and management,including early diagnosis,timely interventions,and regular monitoring of risk factor control and complications screening.Continuous self-care support and patient empowerment can enhance clinical and psychobehavioural outcomes[2],although these require additional resources including manpower,infrastructure(hard and technology),and finances.The emergence of digital health technologies(DHTs),especially artificial intelligence(AI),may help address these obstacles and alleviate the burden of diabetes[3].Large language models(LLMs),a generative AI that can accept image and text inputs and produce text outputs,have shown promise in various aspects of medical care. | 盛斌 管洲榆 Lee-Ling Lim 江泽铧 Nestoras Mathioudakis 李佳佳 刘茹涵 包玉倩 Yong Mong Bee 王亚星 郑颖丰 Gavin Siew Wei Tan 纪宏伟 Josip Car 王海波 David C.Klonoff 李华婷 覃宇宗 黄天荫 贾伟平 | 2024 | Science Bulletin2024，69，5： | 0 |
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