Artificial Intelligence in Efficient Diabetes Care

被引:1
|
作者
Khodve, Gopal Bhagwan [1 ]
Banerjee, Sugato [1 ]
机构
[1] Natl Inst Pharmaceut Educ & Res, Dept Pharmacol & Toxicol, Kolkata, India
关键词
Artificial intelligence; diabetes; diabetes management; healthcare; machine learning; continuous glucose monitoring; GLUCOSE; NEUROPATHY; INSULIN; RISK; RETINOPATHY; POPULATION; DIAGNOSIS; OUTCOMES; FUTURE;
D O I
10.2174/1573399819666220905163940
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Diabetes is a chronic disease that is not easily curable but can be managed efficiently. Artificial Intelligence is a powerful tool that may help in diabetes prediction, continuous glucose monitoring, Insulin injection guidance, and other areas of diabetes care. Diabetes, if not appropriately managed, leads to secondary complications like retinopathy, nephropathy, and neuropathy. Artificial intelligence helps minimize the risk of these complications through software and Artificial Intelligence-based devices. Artificial Intelligence can also help physicians in the early diagnosis and management of diabetes while reducing medical errors. Here we review the advancement of Artificial Intelligence in diabetes management.
引用
收藏
页码:45 / 54
页数:10
相关论文
共 50 条
  • [1] Artificial Intelligence in Diabetes Care
    Muneer, M.
    [J]. DIABETES RESEARCH AND CLINICAL PRACTICE, 2022, 186
  • [2] Artificial intelligence in diabetes care
    Buch, V.
    Varughese, G.
    Maruthappu, M.
    [J]. DIABETIC MEDICINE, 2018, 35 (04) : 495 - 497
  • [3] Artificial Intelligence: The Future for Diabetes Care
    Ellahham, Samer
    [J]. AMERICAN JOURNAL OF MEDICINE, 2020, 133 (08): : 895 - 900
  • [4] Artificial Intelligence and Digital Tools Future of Diabetes Care
    Sriram, Ram D.
    Reddy, S. Sethu K.
    [J]. CLINICS IN GERIATRIC MEDICINE, 2020, 36 (03) : 513 - +
  • [5] Artificial intelligence for diabetes care: current and future prospects
    Sheng, Bin
    Pushpanathan, Krithi
    Guan, Zhouyu
    Lim, Quan Hziung
    Lim, Zhi Wei
    Yew, Samantha Min Er
    Goh, Jocelyn Hui Lin
    Bee, Yong Mong
    Sabanayagam, Charumathi
    Sevdalis, Nick
    Lim, Cynthia Ciwei
    Lim, Chwee Teck
    Shaw, Jonathan
    Jia, Weiping
    Ekinci, Elif Ilhan
    Simo, Rafael
    Lim, Lee-Ling
    Li, Huating
    Tham, Yih-Chung
    [J]. LANCET DIABETES & ENDOCRINOLOGY, 2024, 12 (08): : 569 - 595
  • [6] The transformative role of artificial intelligence in diabetes care and research
    Canha, Dulce
    Bour, Charline
    Barraud, Sara
    Aguayo, Gloria
    Fagherazzi, Guy
    [J]. DIABETES & METABOLISM, 2024, 50 (05)
  • [7] The case for artificial intelligence in diagnosis and predictive medicine in diabetes care
    Benhamou, P. Y.
    [J]. CORRESPONDANCES EN METABOLISMES HORMONES DIABETES ET NUTRITION, 2023, 27 (01): : 18 - 21
  • [8] Transforming Diabetes Care Through Artificial Intelligence: The Future Is Here
    Dankwa-Mullan, Irene
    Rivo, Marc
    Sepulveda, Marisol
    Park, Yoonyoung
    Snowdon, Jane
    Rhee, Kyu
    [J]. POPULATION HEALTH MANAGEMENT, 2019, 22 (03) : 229 - 242
  • [9] Artificial intelligence-driven transformations in diabetes care: a comprehensive literature review
    Iftikhar, Muhammad
    Saqib, Muhammad
    Qayyum, Sardar Noman
    Asmat, Rehana
    Mumtaz, Hassan
    Rehan, Muhammad
    Ullah, Irfan
    Ud-din, Iftikhar
    Noori, Samim
    Khan, Maleeka
    Rehman, Ehtisham
    Ejaz, Zain
    [J]. ANNALS OF MEDICINE AND SURGERY, 2024, 86 (09): : 5334 - 5342
  • [10] Artificial Intelligence in Medicine and Care
    Schleidgen, Sebastian
    Friedrich, Orsolya
    [J]. ETHIK IN DER MEDIZIN, 2023, 35 (02) : 169 - 172