Literature DB >> 32586478

Artificial Intelligence and Digital Tools: Future of Diabetes Care.

Ram D Sriram1, S Sethu K Reddy2.   

Abstract

Diabetes mellitus has become a global threat, especially in the emerging economies. In the United States, there are about 24 million people with diabetes mellitus. Diabetes represents a trove of physiologic and sociologic data that are only superficially understood by the health care system. Artificial intelligence can address many problems posed by the prevalence of diabetes mellitus and the impact of diabetes on individual and societal health. We provide a brief overview of artificial intelligence and discuss case studies that illustrate how artificial intelligence can enhance diabetes care.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Artificial intelligence; Diabetes mellitus; Knowledge-based expert systems; Natural language processing; Neural networks; P7 medicine

Year:  2020        PMID: 32586478     DOI: 10.1016/j.cger.2020.04.009

Source DB:  PubMed          Journal:  Clin Geriatr Med        ISSN: 0749-0690            Impact factor:   3.076


  3 in total

Review 1.  Artificial intelligence perspective in the future of endocrine diseases.

Authors:  Mandana Hasanzad; Bagher Larijani; Hamid Reza Aghaei Meybodi; Negar Sarhangi
Journal:  J Diabetes Metab Disord       Date:  2022-01-11

Review 2.  Transforming Health Care through Digital Revolutions.

Authors:  Ram D Sriram; Eswaran Subrahmanian
Journal:  J Indian Inst Sci       Date:  2020-10-27

3.  An Innovative Artificial Intelligence-Based App for the Diagnosis of Gestational Diabetes Mellitus (GDM-AI): Development Study.

Authors:  Jiayi Shen; Jiebin Chen; Zequan Zheng; Jiabin Zheng; Zherui Liu; Jian Song; Sum Yi Wong; Xiaoling Wang; Mengqi Huang; Po-Han Fang; Bangsheng Jiang; Winghei Tsang; Zonglin He; Taoran Liu; Babatunde Akinwunmi; Chi Chiu Wang; Casper J P Zhang; Jian Huang; Wai-Kit Ming
Journal:  J Med Internet Res       Date:  2020-09-15       Impact factor: 5.428

  3 in total

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