Artificial Intelligence: The Future for Diabetes Care.


Journal

The American journal of medicine
ISSN: 1555-7162
Titre abrégé: Am J Med
Pays: United States
ID NLM: 0267200

Informations de publication

Date de publication:
08 2020
Historique:
received: 27 02 2020
revised: 16 03 2020
accepted: 16 03 2020
pubmed: 24 4 2020
medline: 22 9 2020
entrez: 24 4 2020
Statut: ppublish

Résumé

Artificial intelligence (AI) is a fast-growing field and its applications to diabetes, a global pandemic, can reform the approach to diagnosis and management of this chronic condition. Principles of machine learning have been used to build algorithms to support predictive models for the risk of developing diabetes or its consequent complications. Digital therapeutics have proven to be an established intervention for lifestyle therapy in the management of diabetes. Patients are increasingly being empowered for self-management of diabetes, and both patients and health care professionals are benefitting from clinical decision support. AI allows a continuous and burden-free remote monitoring of the patient's symptoms and biomarkers. Further, social media and online communities enhance patient engagement in diabetes care. Technical advances have helped to optimize resource use in diabetes. Together, these intelligent technical reforms have produced better glycemic control with reductions in fasting and postprandial glucose levels, glucose excursions, and glycosylated hemoglobin. AI will introduce a paradigm shift in diabetes care from conventional management strategies to building targeted data-driven precision care.

Identifiants

pubmed: 32325045
pii: S0002-9343(20)30339-9
doi: 10.1016/j.amjmed.2020.03.033
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

895-900

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

Auteurs

Samer Ellahham (S)

Cleveland Clinic, Lyndhurst, Ohio; Cleveland Clinic Abu Dhabi, Abu Dhabi, United Arab Emirates. Electronic address: ellahas@clevelandclinicabudhabi.ae.

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Classifications MeSH