Artificial Intelligence/Machine Learning in Diabetes Care

Artificial intelligence/Machine learning (AI/ML) is transforming all spheres of our life, including the healthcare system. Application of AI/ML has a potential to vastly enhance the reach of diabetes care thereby making it more efficient. The huge burden of diabetes cases in India represents a uniqu...

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Autores principales: Singla, Rajiv, Singla, Ankush, Gupta, Yashdeep, Kalra, Sanjay
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2019
Materias:
Brief Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6844177/
https://www.ncbi.nlm.nih.gov/pubmed/31741913
http://dx.doi.org/10.4103/ijem.IJEM_228_19
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author Singla, Rajiv
Singla, Ankush
Gupta, Yashdeep
Kalra, Sanjay
author_facet Singla, Rajiv
Singla, Ankush
Gupta, Yashdeep
Kalra, Sanjay
author_sort Singla, Rajiv
collection PubMed
description Artificial intelligence/Machine learning (AI/ML) is transforming all spheres of our life, including the healthcare system. Application of AI/ML has a potential to vastly enhance the reach of diabetes care thereby making it more efficient. The huge burden of diabetes cases in India represents a unique set of problems, and provides us with a unique opportunity in terms of potential availability of data. Harnessing this data using electronic medical records, by all physicians, can put India at the forefront of research in this area. Application of AI/ML would provide insights to our problems as well as may help us to devise tailor-made solutions for the same.
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spelling pubmed-68441772019-11-18 Artificial Intelligence/Machine Learning in Diabetes Care Singla, Rajiv Singla, Ankush Gupta, Yashdeep Kalra, Sanjay Indian J Endocrinol Metab Brief Communication Artificial intelligence/Machine learning (AI/ML) is transforming all spheres of our life, including the healthcare system. Application of AI/ML has a potential to vastly enhance the reach of diabetes care thereby making it more efficient. The huge burden of diabetes cases in India represents a unique set of problems, and provides us with a unique opportunity in terms of potential availability of data. Harnessing this data using electronic medical records, by all physicians, can put India at the forefront of research in this area. Application of AI/ML would provide insights to our problems as well as may help us to devise tailor-made solutions for the same. Wolters Kluwer - Medknow 2019 /pmc/articles/PMC6844177/ /pubmed/31741913 http://dx.doi.org/10.4103/ijem.IJEM_228_19 Text en Copyright: © 2019 Indian Journal of Endocrinology and Metabolism http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Brief Communication
Singla, Rajiv
Singla, Ankush
Gupta, Yashdeep
Kalra, Sanjay
Artificial Intelligence/Machine Learning in Diabetes Care
title Artificial Intelligence/Machine Learning in Diabetes Care
title_full Artificial Intelligence/Machine Learning in Diabetes Care
title_fullStr Artificial Intelligence/Machine Learning in Diabetes Care
title_full_unstemmed Artificial Intelligence/Machine Learning in Diabetes Care
title_short Artificial Intelligence/Machine Learning in Diabetes Care
title_sort artificial intelligence/machine learning in diabetes care
topic Brief Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6844177/
https://www.ncbi.nlm.nih.gov/pubmed/31741913
http://dx.doi.org/10.4103/ijem.IJEM_228_19
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AT guptayashdeep artificialintelligencemachinelearningindiabetescare
AT kalrasanjay artificialintelligencemachinelearningindiabetescare

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