Integrating blockchain technology with artificial intelligence for cardiovascular medicine

被引：0
|
作者：
Chayakrit Krittanawong
Albert J. Rogers
Mehmet Aydar
Edward Choi
Kipp W. Johnson
Zhen Wang
Sanjiv M. Narayan
机构：
[1] Baylor College of Medicine,Section of Cardiology
[2] Cardiovascular Institute and Division of Cardiovascular Medicine,Department of Computer Science
[3] Stanford University,Institute for Next Generation Healthcare, Department of Genetics and Genomic Sciences
[4] Kent State University,Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Division of Health Care Policy and Research, Department of Health Sciences Research
[5] Google,undefined
[6] Icahn School of Medicine at Mount Sinai,undefined
[7] Mayo Clinic,undefined
来源：
Nature Reviews Cardiology | 2020年 / 17卷
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Artificial intelligence (AI) holds promise for cardiovascular medicine but is limited by a lack of large, heterogeneous and granular data sets. Blockchain provides secure interoperability between siloed stakeholders and centralized data sources. We discuss integration of blockchain with AI for data-centric analysis and information flow, its current limitations and potential cardiovascular applications.
引用
收藏
页码：1 / 3
页数：2
相关论文
共 50 条
  • [1] Integrating blockchain technology with artificial intelligence for cardiovascular medicine
    Krittanawong, Chayakrit
    Rogers, Albert J.
    Aydar, Mehmet
    Choi, Edward
    Johnson, Kipp W.
    Wang, Zhen
    Narayan, Sanjiv M.
    [J]. NATURE REVIEWS CARDIOLOGY, 2020, 17 (01) : 1 - 3
  • [2] Integrating blockchain technology with artificial intelligence for the diagnosis of tibial plateau fractures
    Yi Xie
    Xiaoliang Chen
    Huiwen Yang
    Honglin Wang
    Hong Zhou
    Lin Lu
    Jiayao Zhang
    Pengran Liu
    Zhewei Ye
    [J]. European Journal of Trauma and Emergency Surgery, 2025, 51 (1)
  • [3] Artificial Intelligence in Cardiovascular Medicine
    Seetharam K.
    Shrestha S.
    Sengupta P.P.
    [J]. Current Treatment Options in Cardiovascular Medicine, 2019, 21 (5)
  • [4] Artificial intelligence in cardiovascular medicine
    Ranka, Sagar
    Reddy, Madhu
    Noheria, Amit
    [J]. CURRENT OPINION IN CARDIOLOGY, 2021, 36 (01) : 26 - 35
  • [5] A Review of Artificial Intelligence, Big Data, and Blockchain Technology Applications in Medicine and Global Health
    Supriya, M.
    Chattu, Vijay Kumar
    [J]. BIG DATA AND COGNITIVE COMPUTING, 2021, 5 (03)
  • [6] A primer in artificial intelligence in cardiovascular medicine
    J. W. Benjamins
    T. Hendriks
    J. Knuuti
    L. E. Juarez-Orozco
    P. van der Harst
    [J]. Netherlands Heart Journal, 2019, 27 : 392 - 402
  • [7] Application of Artificial Intelligence in Cardiovascular Medicine
    Cheng, Xi
    Manandhar, Ishan
    Aryal, Sachin
    Joe, Bina
    [J]. COMPREHENSIVE PHYSIOLOGY, 2021, 11 (04) : 2455 - 2466
  • [8] A primer in artificial intelligence in cardiovascular medicine
    Benjamins, J. W.
    Hendriks, T.
    Knuuti, J.
    Juarez-Orozco, L. E.
    van der Harst, P.
    [J]. NETHERLANDS HEART JOURNAL, 2019, 27 (09) : 392 - 402
  • [9] Artificial Intelligence in Precision Cardiovascular Medicine
    Krittanawong, Chayakrit
    Zhang, HongJu
    Wang, Zhen
    Aydar, Mehmet
    Kitai, Takeshi
    [J]. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2017, 69 (21) : 2657 - 2664
  • [10] Artificial intelligence in cardiovascular medicine in China
    Han, Yaling
    [J]. EUROPEAN HEART JOURNAL, 2022, 43 (19) : 1782 - 1783
12345