糖尿病
医学
重症监护医学
疾病
低血糖
人工智能
计算机科学
内科学
内分泌学
作者
Alessandra T. Ayers,Cindy Ho,David Kerr,Simon Lebech Cichosz,Nestoras Mathioudakis,Michelle Wang,Bijan Najafi,Sun Joon Moon,Ambarish Pandey,David C. Klonoff
标识
DOI:10.1177/19322968241287773
摘要
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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