人工智能诊断糖尿病并发症。

IF 4.1 Q2 ENDOCRINOLOGY & METABOLISM Journal of Diabetes Science and Technology Pub Date : 2025-01-01 Epub Date: 2024-11-22 DOI:10.1177/19322968241287773
Alessandra T Ayers, Cindy N Ho, David Kerr, Simon Lebech Cichosz, Nestoras Mathioudakis, Michelle Wang, Bijan Najafi, Sun-Joon Moon, Ambarish Pandey, David C Klonoff
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引用次数: 0

摘要

人工智能(AI)越来越多地被用于诊断糖尿病并发症。人工智能是一种能让计算机和机器模拟人类智能并解决复杂问题的技术。在本文中,我们将讨论人工智能在糖尿病及其并发症方面目前和未来可能的应用,包括药物治疗的依从性、低血糖的诊断、糖尿病眼病、糖尿病肾病、糖尿病神经病变、糖尿病足溃疡和糖尿病心力衰竭。人工智能的优势在于它可以处理来自各种来源的庞大而复杂的数据集。随着每种额外的数据被纳入病人的临床图片,计算就会变得越来越复杂和具体。人工智能是新兴医疗技术的基础;它将为未来诊断糖尿病并发症提供动力。
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Artificial Intelligence to Diagnose Complications of Diabetes.

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.

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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.
期刊最新文献
Corrigendum to "How the Diabetes Research Hub Will Modernize and Enhance Diabetes Data Utilization". Cost-Effective Quality of Life Improvement While Reducing Health Care Professional Burnout With an AI-Driven Intervention for Personalized Medicine. A Prospective Pilot Study Demonstrating Noninvasive Calibration-Free Glucose Measurement. Dose Accuracy and Reliability of a Connected Insulin Pen System. Effects of Personalized DiaBetes TEXT Messaging Combined with Peer Support Education on Patients With Type 2 Diabetes: A Randomized Controlled Trial.
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