AI-Powered Diabetes Precision Health: From Data to Action

Diabetes has become a major public health challenge due to its high prevalence and chronic nature, with many individuals managing the condition for decades. The vast heterogeneity in diabetes necessitates personalized approaches to its prevention, diagnosis, treatment, and prognosis. Recently, the National Institute of Diabetes and Digestive and Kidney Diseases at the National Institutes of Health convened experts from the fields of diabetes and AI to identify and discuss existing gaps, as well as potentially transformative opportunities and actionable items enabled by recent advancements in AI. One prominent theme that has emerged from this discussion was the considerable potential of AI in Diabetes Precision Health, a field that warrants greater attention. The purpose of this article is to describe the opportunities and challenges identified during the workshop and outline potential strategies recommended by workshop attendees to advance this promising field.

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Publication Details

Journal
NEJM AI
Published
2025-08-28
DOI
https://doi.org/10.1056/aip2500475
Primary Topic
Diabetes Management and Research
Type
article
Field-Weighted Citation Impact
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article

AI-Powered Diabetes Precision Health: From Data to Action

Xujing Wang, Jia Nie, Ashley Xia, Carol Renfrew Haft
1 links
NEJM AI
Diabetes Management and Research
article

AI-Powered Diabetes Precision Health: From Data to Action

Xujing Wang, Jia Nie, Ashley Xia, Carol Renfrew Haft
article en

Abstract

Diabetes has become a major public health challenge due to its high prevalence and chronic nature, with many individuals managing the condition for decades. The vast heterogeneity in diabetes necessitates personalized approaches to its prevention, diagnosis, treatment, and prognosis. Recently, the National Institute of Diabetes and Digestive and Kidney Diseases at the National Institutes of Health convened experts from the fields of diabetes and AI to identify and discuss existing gaps, as well as potentially transformative opportunities and actionable items enabled by recent advancements in AI. One prominent theme that has emerged from this discussion was the considerable potential of AI in Diabetes Precision Health, a field that warrants greater attention. The purpose of this article is to describe the opportunities and challenges identified during the workshop and outline potential strategies recommended by workshop attendees to advance this promising field.

NEJM AIVol. 2(9)
National Institute of Diabetes and Digestive and Kidney Diseases (US), Division of Program Coordination Planning and Strategic Initiatives (US)
Openalex Percentile: Top 69%
Diabetes Management and Research
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AI-Powered Diabetes Precision Health: From Data to Action — Xujing Wang, Jia Nie, et al. · NEJM AI (2025) | TGRS Research Map | TGRS