Digital Technology for Diabetes
Open accessAbstract
Monitors to measure glucose levels have been paired with software controlling insulin delivery. The authors examine the state of the art in digital technology to manage diabetes (types 1 and 2).
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CGM helps characterize the timing, amplitude, and frequency of excursions, and provides quantitative metrics such as TIR, time in hypoglycemia (TBR) and hyperglycemia (TAR), and indices of glycemic variability, which are increasingly used as clinically meaningful targets in diabetes management.
“CGM helps characterize the timing, amplitude, and frequency of excursions [133–139], and provides quantitative metrics such as TIR, time in hypoglycemia (TBR) and hyperglycemia (TAR), and indices of glycemic variability, which are increasingly used as clinically meaningful targets in diabetes management [140–144].”
From Diabetic gastroparesis: pathophysiology and impact on insulin timing choices (2026) · cites this paper as [138]
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“This may be attributed to the continuous advancements in diabetes prevention and treatment technologies, the rapid updates and iterations of medications, the complexity of drug mechanisms, and the variability in treat-ment plans [30].”
Trust in Medical AI: The Case of mHealth Diabetes Apps
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“We will focus in particular on the context of mHealth apps for the treatment of diabetes, a chronic condition (chronic disease management is one of the most dominant areas for mHealth app usage), where patient trust is a crucial element [17].”
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“Use of glucose sensors (CGMs) in patients with T2D can give greater improvements in glycaemic outcomes compared to standard fingerstick monitoring [41].”
The transformative role of artificial intelligence in diabetes care and research
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- Authors
- Hughes, M. S., Addala, A., & Buckingham, B.
- Affiliations
- Stanford Medicine (US)
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 2023-11-30
- Volume
- 389
- Issue
- 22
- Pages
- 2076-2086
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- PMC
- PMC12333919
- OpenAlex
- W4389120388
- Cited by
- 59
- References
- 59
- Citations by year
- 2026: 13 · 2025: 22 · 2024: 23 · 2023: 1
- FWCI
- 2.13
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- New England Journal of Medicine (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Diabetes and Digestive and Kidney Diseases (K12DK122550, P30DK116074, K23DK131342)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- diabetes management, digital health technologies, glucose monitoring, continuous glucose monitoring, insulin delivery, insulin pump, artificial pancreas, type 1 diabetes, type 2 diabetes
- MeSH terms
- Digital Technology, Diabetes Mellitus, Humans, Technology, Mobile Applications
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