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
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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.
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页码：1 / 3
页数：2
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