糖尿病管理中的人工智能:进展,机遇和挑战
Zhouyu Guan1, Huating Li1, Ruhan Liu2
1Shanghai International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai 200240, China.
人工智能 (AI) 为改善糖尿病管理和降低医疗保健成本提供了一个有希望的解决方案. 这篇评论探讨了人工智能.
科学领域:
- 内分泌学和代谢性疾病.
- 数字健康数字健康
- 医疗保健中的人工智能
背景情况:
- 由于患病率,并发症和经济负担的增加,糖尿病对全球健康构成了重大挑战.
- 低血糖控制因专家短缺,资源差异以及患者不理想的坚持和自我管理而加剧.
- 数字健康技术,特别是人工智能,为提高糖尿病护理效率提供了机会.
研究的目的:
- 审查AI应用在糖尿病管理中的进展情况.
- 讨论将AI整合到临床实践中的机遇和挑战.
- 探索开发一个人工智能辅助的数字健康生态系统,以提供全面的糖尿病护理.
主要方法:
- 关于人工智能在糖尿病管理方面的最新进展的文献综述.
- 分析当前的临床应用,机遇和挑战.
- 整合人工智能驱动的数字健康生态系统的概念化.
主要成果:
- 人工智能展示了提高糖尿病护理提供效率的潜力.
- 人工智能有很大的机会优化血糖控制和患者的治疗结果.
- 挑战包括实施障碍,数据隐私和监管考虑.
结论:
- 人工智能对改变糖尿病预防,管理和护理有很大的希望.
- 一个集成的人工智能辅助的数字健康生态系统可以解决糖尿病护理当前的局限性.
- 需要进一步的研究和开发,才能充分发挥人工智能在糖尿病管理方面的潜力.
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