Artificial Intelligence to Diagnose Complications of Diabetes

Overview

Journal J Diabetes Sci Technol

Specialty Endocrinology

Date 2024 Nov 23

PMID 39578435

Authors

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

Affiliations

Soon will be listed here.

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.

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