人工智能在糖尿病护理中的应用：现状与未来前景。
Artificial intelligence for diabetes care: current and future prospects.
机构信息
Shanghai Belt and Road International Joint Laboratory for Intelligent Prevention and Treatment of Metabolic Disorders, 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, China; Key Laboratory of Artificial Intelligence, Ministry of Education, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Centre of Innovation and Precision Eye Health, Department of Ophthalmology, National University of Singapore, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
出版信息
Lancet Diabetes Endocrinol. 2024 Aug;12(8):569-595. doi: 10.1016/S2213-8587(24)00154-2.
Artificial intelligence (AI) use in diabetes care is increasingly being explored to personalise care for people with diabetes and adapt treatments for complex presentations. However, the rapid advancement of AI also introduces challenges such as potential biases, ethical considerations, and implementation challenges in ensuring that its deployment is equitable. Ensuring inclusive and ethical developments of AI technology can empower both health-care providers and people with diabetes in managing the condition. In this Review, we explore and summarise the current and future prospects of AI across the diabetes care continuum, from enhancing screening and diagnosis to optimising treatment and predicting and managing complications.
人工智能（AI）在糖尿病护理中的应用正越来越多地被探索，以实现针对糖尿病患者的个性化护理，并针对复杂的临床表现调整治疗方案。然而，AI 的快速发展也带来了一些挑战，例如潜在的偏见、伦理考量，以及在确保其部署公平性方面的实施挑战。确保 AI 技术的包容性和合乎伦理的发展可以增强医疗保健提供者和糖尿病患者管理病情的能力。在这篇综述中，我们探讨并总结了 AI 在糖尿病护理连续体中的当前和未来前景，从增强筛查和诊断到优化治疗以及预测和管理并发症。
Zotero 插件