Work

Integrating blockchain technology with artificial intelligence for cardiovascular medicine

Year: 2019

Type: article

Source: Nature Reviews Cardiology

DOI: 10.1038/s41569-019-0294-y

Authors: Chayakrit Krittanawong, Albert J. Rogers, Mehmet Aydar, Edward Choi, Kipp W. Johnson, Zhen Wang, Sanjiv M. Narayan

Institutions: Baylor College of Medicine, Stanford Cardiovascular Institute, Stanford University, Kent State University, Google (United States), Icahn School of Medicine at Mount Sinai, Mayo Clinic, Stanford Medicine

Language: English

Topic: Blockchain Technology Applications and Security

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funder: National Heart, Lung, and Blood Institute

Awards: The Maintenance of Human Atrial Fibrillation, Novel Atrial Fibrillation Phenotypes Defined by Functional-Anatomical, Machine-Learned Classifications, The Dynamics of Human Atrial Fibrillation

OpenAlex ID: W2979604013

FWCI: 13.48

Cites: 8

Cited by: 117

Related to: 10