Artificial Intelligence for Predicting and Diagnosing Complications of Diabetes

Jingtong Huang; Andrea M Yeung; David G Armstrong; Ashley N Battarbee; Jorge Cuadros; Juan C Espinoza; Samantha Kleinberg; Nestoras Mathioudakis; Mark A Swerdlow; David C Klonoff

doi:10.1177/19322968221124583

Artificial Intelligence for Predicting and Diagnosing Complications of Diabetes

J Diabetes Sci Technol. 2023 Jan;17(1):224-238. doi: 10.1177/19322968221124583. Epub 2022 Sep 19.

Authors

Affiliations

¹ Diabetes Technology Society, Burlingame, CA, USA.
² Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
³ Center for Women's Reproductive Health, The University of Alabama at Birmingham, Birmingham, AL, USA.
⁴ Meredith Morgan Optometric Eye Center, University of California, Berkeley, Berkeley, CA, USA.
⁵ Children's Hospital Los Angeles, University of Southern California, Los Angeles, CA, USA.
⁶ Stevens Institute of Technology, Hoboken, NJ, USA.
⁷ Johns Hopkins University, Baltimore, MD, USA.
⁸ Diabetes Research Institute, Mills-Peninsula Medical Center, San Mateo, CA, USA.

Abstract

Artificial intelligence can use real-world data to create models capable of making predictions and medical diagnosis for diabetes and its complications. The aim of this commentary article is to provide a general perspective and present recent advances on how artificial intelligence can be applied to improve the prediction and diagnosis of six significant complications of diabetes including (1) gestational diabetes, (2) hypoglycemia in the hospital, (3) diabetic retinopathy, (4) diabetic foot ulcers, (5) diabetic peripheral neuropathy, and (6) diabetic nephropathy.

Keywords: artificial intelligence; complications; diabetes; machine learning algorithm; prediction; risk factors.

Publication types

Research Support, U.S. Gov't, P.H.S.

MeSH terms

Artificial Intelligence
Diabetes Mellitus* / diagnosis
Diabetic Foot* / diagnosis
Diabetic Nephropathies* / diagnosis
Diabetic Nephropathies* / etiology
Diabetic Neuropathies* / complications
Diabetic Neuropathies* / etiology
Diabetic Retinopathy* / diagnosis
Humans

Abstract

Publication types

MeSH terms

Grants and funding