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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.
  • Krittanawong C; Section of Cardiology, Baylor College of Medicine, Houston, TX, USA. chayakrit.krittanawong@bcm.edu.
  • Rogers AJ; Cardiovascular Institute and Division of Cardiovascular Medicine, Stanford University, Stanford, CA, USA.
  • Aydar M; Department of Computer Science, Kent State University, Kent, OH, USA.
  • Choi E; Google, Mountain View, CA, USA.
  • Johnson KW; Institute for Next Generation Healthcare, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Wang Z; 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, Mayo Clinic, Rochester, MN, USA.
  • Narayan SM; Cardiovascular Institute and Division of Cardiovascular Medicine, Stanford University, Stanford, CA, USA. sanjiv1@stanford.edu.
Nat Rev Cardiol ; 17(1): 1-3, 2020 01.
Article in English | MEDLINE | ID: covidwho-827317

Full text: Available Collection: International databases Database: MEDLINE Main subject: Therapy, Computer-Assisted / Artificial Intelligence / Cardiovascular Diseases / Diagnosis, Computer-Assisted / Systems Integration / Health Information Management / Blockchain Type of study: Diagnostic study / Reviews Limits: Humans Language: English Journal: Nat Rev Cardiol Journal subject: Cardiology Year: 2020 Document Type: Article Affiliation country: S41569-019-0294-y

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Therapy, Computer-Assisted / Artificial Intelligence / Cardiovascular Diseases / Diagnosis, Computer-Assisted / Systems Integration / Health Information Management / Blockchain Type of study: Diagnostic study / Reviews Limits: Humans Language: English Journal: Nat Rev Cardiol Journal subject: Cardiology Year: 2020 Document Type: Article Affiliation country: S41569-019-0294-y