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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Topol, E. J. High-performance medicine: the convergence of human and artificial intelligence. Nat. Med. 25, 44–56 (2019).
Krittanawong, C. et al. Deep learning for cardiovascular medicine: a practical primer. Eur. Heart J. 40, 2058–2073 (2019).
Minchole, A. & Rodriguez, B. Artificial intelligence for the electrocardiogram. Nat. Med. 25, 22–23 (2019).
Loring, Z., Mehrotra, S. & Piccini, J. P. Machine learning in ‘big data’: handle with care. Europace 21, 1284–1285 (2019).
Giordanengoa, A. Possible usages of smart contracts (blockchain) in healthcare and why no one is using them. Stud. Health Technol. Inform. 264, 596–600 (2019).
Mamoshina, P. et al. Converging blockchain and next-generation artificial intelligence technologies to decentralize and accelerate biomedical research and healthcare. Oncotarget 9, 5665–5690 (2018).
de Denus, S. et al. Spironolactone metabolites in TOPCAT — new insights into regional variation. N. Engl. J. Med. 376, 1690–1692 (2017).
Wiggers, K. PatientSphere uses AI and blockchain to personalize treatment plans. VentureBeat https://venturebeat.com/2018/10/25/patientsphere-uses-ai-and-blockchain-to-personalize-treatment-plans/ (2018).
Popov, G. The future of artifical intelligence in healthcare! SkyChain https://skychain.global/upload/iblock/89a/wp_english_Newest.pdf (2019).
O’Donoghue, O. et al. Design choices and trade-offs in health care blockchain implementations: systematic review. J. Med. Internet Res. 21, e12426 (2019).
The NIH has awarded grant funding to A.J.R. (F32HL144101) and S.M.N. (HL83359 and HL103800).
S.M.N. has consulted for Abbott Laboratories and beyond.ai and declares Intellectual Property Rights from University of California Regents and Stanford University. The other authors declare no competing interests.
Farasha Labs: https://www.f6s.com/farashalabs
MedStar Health Research Institute: https://www.medstarhealth.org/mhri/
Open Health Network: https://www.openhealth.cc/
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Krittanawong, C., Rogers, A.J., Aydar, M. et al. Integrating blockchain technology with artificial intelligence for cardiovascular medicine. Nat Rev Cardiol 17, 1–3 (2020). https://doi.org/10.1038/s41569-019-0294-y
Current Hypertension Reports (2020)