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Integrating blockchain technology with artificial intelligence for cardiovascular medicine
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“the integration of blockchain with AI could advance the goal of personalized cardiovascular medicine.”
From Blockchain and Artificial Intelligence Technology in E-Health (2021) · cites this paper as Krittanawong et al. 2020
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High-performance medicine: the convergence of human and artificial intelligence
Topol, E. J. (2019) · Nature Medicine · doi:10.1038/s41591-018-0300-7 · Cited by 10,450
Mamoshina, P., Ojomoko, L., Yanovich, Y., Ostrovski, A., Botezatu, A., Prikhodko, P., Izumchenko, E., Aliper, A., Romantsov, K., Zhebrak, A., et al. (2018) · Oncotarget · doi:10.18632/oncotarget.22345 · Cited by 471
Deep learning for cardiovascular medicine: a practical primer
Krittanawong, C., Johnson, K. W., Rosenson, R. S., Wang, Z., Aydar, M., Baber, U., Min, J. K., Tang, W. H. W., Halperin, J. L., & Narayan, S. M. (2019) · European Heart Journal · doi:10.1093/eurheartj/ehz056 · Cited by 452
Self-citationSpironolactone Metabolites in TOPCAT — New Insights into Regional Variation
de Denus, S., O’Meara, E., Desai, A. S., Claggett, B. L., Lewis, E. F., Leclair, G., Jutras, M., Lavoie, J., Solomon, S. D., Pitt, B., et al. (2017) · New England Journal of Medicine · doi:10.1056/nejmc1612601 · Cited by 275
Artificial intelligence for the electrocardiogram
Mincholé, A., & Rodríguez, B. (2018) · Nature Medicine · doi:10.1038/s41591-018-0306-1 · Cited by 150
Design Choices and Trade-Offs in Health Care Blockchain Implementations: Systematic Review
O’Donoghue, O., Vazirani, A. A., Brindley, D. A., & Meinert, E. (2019) · Journal of Medical Internet Research · doi:10.2196/12426 · Cited by 82
Possible Usages of Smart Contracts (Blockchain) in Healthcare and Why No One Is Using Them
Giordanengo, A. (2019) · Studies in health technology and informatics · doi:10.3233/shti190292 · Cited by 29
Machine learning in ‘big data’: handle with care
Loring, Z., Mehrotra, S., & Piccini, J. P. (2019) · EP Europace · doi:10.1093/europace/euz130 · Cited by 21
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Artificial intelligence-enhanced electrocardiography in cardiovascular disease management
Siontis, K. C., Noseworthy, P. A., Attia, Z. I., & Friedman, P. A. (2021) · Nature Reviews Cardiology · doi:10.1038/s41569-020-00503-2 · Cited by 914
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A survey of blockchain consensus algorithms performance evaluation criteria
Bamakan, S. M. H., Motavali, A., & Bondarti, A. B. (2020) · Expert Systems with Applications · doi:10.1016/j.eswa.2020.113385 · Cited by 497
Armoundas, A. A., Narayan, S. M., Arnett, D. K., Spector-Bagdady, K., Bennett, D. A., Celi, L. A., Friedman, P. A., Gollob, M. H., Hall, J. L., Kwitek, A. E., et al. (2024) · Circulation · doi:10.1161/cir.0000000000001201 · Cited by 347
Self-citationBlockchain and Artificial Intelligence Technology in E-Health
Tagde, P., Tagde, S., Bhattacharya, T., Tagde, P., Chopra, H., Akter, R., Kaushik, D., & Rahman, M. H. (2021) · Environmental Science and Pollution Research · doi:10.1007/s11356-021-16223-0 · Cited by 281
Metadata
- Authors
- Krittanawong, C., Rogers, A. J., Aydar, M., Choi, E., Johnson, K. W., Wang, Z., & Narayan, S. M.
- Affiliations
- Baylor College of Medicine (US)
- Stanford Cardiovascular Institute (US)
- Kent State University (US)
- Google (United States) (US)
- Icahn School of Medicine at Mount Sinai (US)
- Mayo Clinic (US)
- Stanford Medicine (US)
- Corresponding author
- Krittanawong, Chayakrit
- Narayan, Sanjiv M.
- ORCID
- Venue
- Nature Reviews Cardiology
- Published
- 2019-10-11
- Volume
- 17
- Issue
- 1
- Pages
- 1-3
- ISSN
- 1759-5002 (ISSN-L)
- 1759-5010
- PMC
- PMC8186804
- OpenAlex
- W2979604013
- Cited by
- 113
- References
- 8
- Citations by year
- 2026: 7 · 2025: 12 · 2024: 14 · 2023: 20 · 2022: 18 · 2021: 24 · 2020: 17 · 2019: 1
- FWCI
- 18.66
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Nature Reviews Cardiology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Heart, Lung, and Blood Institute (K24HL103800, F32HL144101, R01HL083359)
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Keywords
- blockchain, artificial intelligence, data interoperability, data silos, data security, information flow, data heterogeneity
- MeSH terms
- Blockchain, Artificial Intelligence, Cardiovascular Diseases, Decision Support Techniques, Diagnosis, Computer-Assisted, Humans, Therapy, Computer-Assisted, Systems Integration, Data Mining, Health Information Management
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