Artificial Intelligence to Diagnose Complications of Diabetes

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

doi:10.1177/19322968241287773

Artificial Intelligence to Diagnose Complications of Diabetes

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

Research output: Contribution to journal › Comment/debate › peer-review

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.

Original language	English (US)
Pages (from-to)	246-264
Number of pages	19
Journal	Journal of Diabetes Science and Technology
Volume	19
Issue number	1
DOIs	https://doi.org/10.1177/19322968241287773
State	Published - Jan 2025
Externally published	Yes

Keywords

artificial intelligence
complications
diabetes
diagnosis
machine learning

ASJC Scopus subject areas

Internal Medicine
Endocrinology, Diabetes and Metabolism
Bioengineering
Biomedical Engineering

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10.1177/19322968241287773

Cite this

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title = "Artificial Intelligence to Diagnose Complications of Diabetes",

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.",

keywords = "artificial intelligence, complications, diabetes, diagnosis, machine learning",

author = "Ayers, {Alessandra T.} and Ho, {Cindy N.} and David Kerr and Cichosz, {Simon Lebech} and Nestoras Mathioudakis and Michelle Wang and Bijan Najafi and Moon, {Sun Joon} and Ambarish Pandey and Klonoff, {David C.}",

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year = "2025",

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doi = "10.1177/19322968241287773",

language = "English (US)",

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T1 - Artificial Intelligence to Diagnose Complications of Diabetes

AU - Ayers, Alessandra T.

AU - Ho, Cindy N.

AU - Kerr, David

AU - Cichosz, Simon Lebech

AU - Mathioudakis, Nestoras

AU - Wang, Michelle

AU - Najafi, Bijan

AU - Moon, Sun Joon

AU - Pandey, Ambarish

AU - Klonoff, David C.

PY - 2025/1

Y1 - 2025/1

N2 - 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.

AB - 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.

KW - artificial intelligence

KW - complications

KW - diabetes

KW - diagnosis

KW - machine learning

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Artificial Intelligence to Diagnose Complications of Diabetes

Abstract

Keywords

ASJC Scopus subject areas

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