Artificial Intelligence for Diabetes Management and Decision Support: Literature Review

Journal of Medical Internet Research
Ivan Contreras, Josep Vehi

Abstract

Artificial intelligence methods in combination with the latest technologies, including medical devices, mobile computing, and sensor technologies, have the potential to enable the creation and delivery of better management services to deal with chronic diseases. One of the most lethal and prevalent chronic diseases is diabetes mellitus, which is characterized by dysfunction of glucose homeostasis. The objective of this paper is to review recent efforts to use artificial intelligence techniques to assist in the management of diabetes, along with the associated challenges. A review of the literature was conducted using PubMed and related bibliographic resources. Analyses of the literature from 2010 to 2018 yielded 1849 pertinent articles, of which we selected 141 for detailed review. We propose a functional taxonomy for diabetes management and artificial intelligence. Additionally, a detailed analysis of each subject category was performed using related key outcomes. This approach revealed that the experiments and studies reviewed yielded encouraging results. We obtained evidence of an acceleration of research activity aimed at developing artificial intelligence-powered tools for prediction and prevention of complications associa...Continue Reading

Associated Clinical Trials

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Citations

Sep 6, 2018·Journal of Diabetes Science and Technology·David Kerr, David C Klonoff
Apr 6, 2019·Journal of Medical Internet Research·Andreas K Triantafyllidis, Athanasios Tsanas
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Methods Mentioned

BETA
feature extraction

Clinical Trials Mentioned

NCT02053051

Software Mentioned

MD
Google Scholar
UVA
MiniMEd
METABO
MediClass
- Logic
Padova
GoCARB

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