Artificial Intelligence to Diagnose Complications of Diabetes
Alessandra T. Ayers, Cindy Ho, David Kerr, Simon Lebech Cichosz, Nestoras Mathioudakis, Michelle Wang, Bijan Najafi, Sun Joon Moon, Ambarish Pandey, David C. Klonoff
Abstract
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.