Artificial Intelligence for Predicting and Diagnosing Complications of Diabetes

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

Journal of Diabetes Science and Technology · 2022 · 55 citations · 72 references

DOIFull text

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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.

References

72