Artificial intelligence in diabetes management: Advancements, opportunities, and challenges

被引:27
|
作者
Guan, Zhouyu [1 ]
Li, Huating [1 ]
Liu, Ruhan [1 ,2 ,3 ]
Cai, Chun [1 ]
Liu, Yuexing [1 ]
Li, Jiajia [1 ,2 ]
Wang, Xiangning [4 ]
Huang, Shan [1 ,2 ]
Wu, Liang [1 ]
Liu, Dan [1 ]
Yu, Shujie [1 ]
Wang, Zheyuan [1 ,2 ]
Shu, Jia [1 ,2 ]
Hou, Xuhong [1 ]
Yang, Xiaokang [2 ]
Jia, Weiping [1 ]
Sheng, Bin [1 ,2 ]
机构
[1] Shanghai Jiao Tong Univ, Sch Med 6, Shanghai Peoples Hosp, Shanghai Clin Ctr Diabet,Shanghai Int Joint Lab In, Shanghai 200240, Peoples R China
[2] Shanghai Jiao Tong Univ, Sch Elect Informat & Elect Engn, MOE Key Lab AI, Shanghai 200240, Peoples R China
[3] Natl Engn Res Ctr Personalized Diagnost & Therapeu, Furong Lab, Changsha, Hunan, Peoples R China
[4] Shanghai Jiao Tong Univ, Affiliated Peoples Hosp 6, Dept Ophthalmol, Shanghai 200233, Peoples R China
关键词
DEEP LEARNING ALGORITHM; CHRONIC KIDNEY-DISEASE; NEURAL-NETWORK; RISK-FACTORS; RETINOPATHY; MELLITUS; PREDICTION; CLASSIFICATION; TECHNOLOGY; OUTCOMES;
D O I
10.1016/j.xcrm.2023.101213
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
The increasing prevalence of diabetes, high avoidable morbidity and mortality due to diabetes and diabetic complications, and related substantial economic burden make diabetes a significant health challenge world-wide. A shortage of diabetes specialists, uneven distribution of medical resources, low adherence to medi-cations, and improper self-management contribute to poor glycemic control in patients with diabetes. Recent advancements in digital health technologies, especially artificial intelligence (AI), provide a significant opportunity to achieve better efficiency in diabetes care, which may diminish the increase in diabetes-related health-care expenditures. Here, we review the recent progress in the application of AI in the management of diabetes and then discuss the opportunities and challenges of AI application in clinical practice. Furthermore, we explore the possibility of combining and expanding upon existing digital health technologies to develop an AI-assisted digital health-care ecosystem that includes the prevention and management of diabetes.
引用
收藏
页数:20
相关论文
共 50 条
  • [1] Artificial Intelligence of Things for Smarter Healthcare: A Survey of Advancements, Challenges, and Opportunities
    Baker, Stephanie
    Xiang, Wei
    IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2023, 25 (02): : 1261 - 1293
  • [2] Artificial intelligence in management of macular edema Opportunities and challenges
    Treder, M.
    Diener, R.
    Eter, N.
    OPHTHALMOLOGE, 2020, 117 (10): : 989 - 992
  • [3] Opportunities and Challenges with Artificial Intelligence in Genomics
    Kurant, Danielle E.
    CLINICS IN LABORATORY MEDICINE, 2023, 43 (01) : 87 - 97
  • [4] Opportunities and challenges of artificial intelligence in healthcare
    Iliashenko, Oksana
    Bikkulova, Zilia
    Dubgorn, Alissa
    INTERNATIONAL SCIENCE CONFERENCE SPBWOSCE-2018: BUSINESS TECHNOLOGIES FOR SUSTAINABLE URBAN DEVELOPMENT, 2019, 110
  • [5] Artificial Intelligence in Radiology: Opportunities and Challenges
    Flory, Marta N.
    Napel, Sandy
    Tsai, Emily B.
    SEMINARS IN ULTRASOUND CT AND MRI, 2024, 45 (02) : 152 - 160
  • [6] Artificial intelligence for education: challenges and opportunities
    Bolano-Garcia, Matilde
    PRAXIS-COLOMBIA, 2024, 20 (01): : 8 - 12
  • [7] Opportunities and Challenges for Artificial Intelligence in India
    Kalyanakrishnan, Shivaram
    Panicker, Rahul Alex
    Natarajan, Sarayu
    Rao, Shreya
    PROCEEDINGS OF THE 2018 AAAI/ACM CONFERENCE ON AI, ETHICS, AND SOCIETY (AIES'18), 2018, : 164 - 170
  • [8] Challenges and Opportunities in Medical Artificial Intelligence
    Tsai, Chieh-Mei
    Chao, Chieh-Ju
    Chang, Yung-Chun
    Kuo, Chung-Chieh Jay
    Hsiao, Albert
    Shieh, Alexander
    APSIPA TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING, 2023, 12 (05) : 1 - 34
  • [9] Challenges and opportunities for artificial intelligence in surgery
    Andreatta, Pamela
    Smith, Christopher S.
    Graybill, John Christopher
    Bowyer, Mark
    Elster, Eric
    JOURNAL OF DEFENSE MODELING AND SIMULATION-APPLICATIONS METHODOLOGY TECHNOLOGY-JDMS, 2022, 19 (02): : 219 - 227
  • [10] Artificial Intelligence in Addiction: Challenges and Opportunities
    Suva, Mohit
    Bhatia, Gayatri
    INDIAN JOURNAL OF PSYCHOLOGICAL MEDICINE, 2024,