Application and prospect of artificial intellingence in diabetes care-Reference-Cited by-同舟云学术

Application and prospect of artificial intellingence in diabetes care

Published:2023-02-01 Issue:1 Volume:3 Page:102-104
ISSN:2749-9642
Container-title:Medical Review
language:en
Short-container-title:

Author:

Jia Weiping¹^ORCID,Fisher Edwin B.²

Affiliation:

1. Shanghai Diabetes Institute, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Technical Center for Diabetes Prevention and Clinical Care, Shanghai Key Laboratory of Diabetes Mellitus, Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Research Center for Endocrine and Metabolic Diseases , Shanghai 200233 , China

2. Peers for Progress, Department of Health Behavior , Gillings School of Global Public Health, University of North Carolina at Chapel Hill , 135 Dauer Drive, Campus Box 7440, 27599-7440 Chapel Hill , NC , USA

Abstract

Abstract Diabetes is one of the fastest-growing non-communicable diseases, becoming an important public health concern worldwide as well as in China. Currently, China has the largest population living with diabetes. Artificial intelligence (AI) is a fast-growing field and its applications to diabetes could enable the delivery of better management services for people with diabetes. This perspective summarized the latest findings of digital technologies and AI use in the following areas of diabetes care, mainly including screening and risk predictions of diabetes and diabetic complications, precise monitoring and intervention combined with new technologies, and mobile health application in self-management support for people with diabetes. Challenges to promote further use of AI in diabetes care included data standardization and integration, performance of AI-based medical devices, motivation of patients, and sensitivity to privacy. In summary, although the AI applications in clinical practice is still at an early stage, we are moving toward a new paradigm for diabetes care with the rapid development and emerging application of AI.

Funder

Shanghai Municipal Grants Award

Shanghai Municipal Science and Technology Commission Grants Award

UNC-Michigan Peer Support Core of the University of Michigan Center for Diabetes Translational Research

Chinese Academy of Engineering Grants Award

Publisher

Walter de Gruyter GmbH

Link

https://www.degruyter.com/document/doi/10.1515/mr-2022-0039/pdf

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