Ayers Alessandra T, Ho Cindy N, Kerr David, Cichosz Simon Lebech, Mathioudakis Nestoras, Wang Michelle, Najafi Bijan, Moon Sun-Joon, Pandey Ambarish, Klonoff David C
Diabetes Technology Society, Burlingame, CA, USA.
Center for Health Systems Research, Sutter Health, Santa Barbara, CA, USA.
J Diabetes Sci Technol. 2025 Jan;19(1):246-264. doi: 10.1177/19322968241287773. Epub 2024 Nov 22.
Artificial intelligence (AI) is increasingly being used to diagnose complications of diabetes. Artificial intelligence is technology that enables computers and machines to simulate human intelligence and solve complicated problems. In this article, we address current and likely future applications for AI to be applied to diabetes and its complications, including pharmacoadherence to therapy, diagnosis of hypoglycemia, diabetic eye disease, diabetic kidney diseases, diabetic neuropathy, diabetic foot ulcers, and heart failure in diabetes.Artificial intelligence is advantageous because it can handle large and complex datasets from a variety of sources. With each additional type of data incorporated into a clinical picture of a patient, the calculation becomes increasingly complex and specific. Artificial intelligence is the foundation of emerging medical technologies; it will power the future of diagnosing diabetes complications.
人工智能（AI）越来越多地被用于诊断糖尿病并发症。人工智能是一种使计算机和机器能够模拟人类智能并解决复杂问题的技术。在本文中，我们阐述了人工智能目前以及未来可能应用于糖尿病及其并发症的领域，包括药物治疗依从性、低血糖诊断、糖尿病眼病、糖尿病肾病、糖尿病神经病变、糖尿病足溃疡以及糖尿病合并心力衰竭。人工智能具有优势，因为它可以处理来自各种来源的大量复杂数据集。随着纳入患者临床情况的每一种额外数据类型的增加，计算变得越来越复杂和具体。人工智能是新兴医疗技术的基础；它将推动糖尿病并发症诊断的未来发展。
