Integrating blockchain technology with artificial intelligence for cardiovascular medicine

High-performance medicine: the convergence of human and artificial intelligence

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Converging blockchain and next-generation artificial intelligence technologies to decentralize and accelerate biomedical research and healthcare

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Deep learning for cardiovascular medicine: a practical primer

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Spironolactone Metabolites in TOPCAT — New Insights into Regional Variation

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Artificial intelligence for the electrocardiogram

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Design Choices and Trade-Offs in Health Care Blockchain Implementations: Systematic Review

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Possible Usages of Smart Contracts (Blockchain) in Healthcare and Why No One Is Using Them

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Machine learning in ‘big data’: handle with care

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Artificial intelligence-enhanced electrocardiography in cardiovascular disease management

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COVID-19: potential effects on Chinese citizens’ lifestyle and travel

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A survey of blockchain consensus algorithms performance evaluation criteria

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Use of artificial intelligence in improving outcomes in heart disease: a scientific statement from the American Heart Association

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Blockchain 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 · see citing works

Integration of novel monitoring devices with machine learning technology for scalable cardiovascular management

Krittanawong, C., Rogers, A. J., Johnson, K. W., Wang, Z., Turakhia, M. P., Halperin, J. L., & Narayan, S. M. (2020) · Nature Reviews Cardiology · doi:10.1038/s41569-020-00445-9 · Cited by 237 · see citing works

The Metaverse: A New Challenge for the Healthcare System: A Scoping Review

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CardioVerse: The cardiovascular medicine in the era of Metaverse

Skalidis, I., Müller, O., & Fournier, S. (2022) · Trends in Cardiovascular Medicine · doi:10.1016/j.tcm.2022.05.004 · Cited by 178 · see citing works

A Review of Artificial Intelligence, Big Data, and Blockchain Technology Applications in Medicine and Global Health

Supriya, M., & Chattu, V. K. (2021) · Big Data and Cognitive Computing · doi:10.3390/bdcc5030041 · Cited by 138 · see citing works

The Convergence of Artificial Intelligence and Blockchain: The State of Play and the Road Ahead

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Artificial Intelligence, Blockchain Technology, and Risk-Taking Behavior in the 4.0IR Metaverse Era: Evidence from Bangladesh-Based SMEs

Polas, M. R. H., Jahanshahi, A. A., Kabir, A. I., Sohel‐Uz‐Zaman, A. S. M., Osman, A., & Karim, R. (2022) · Journal of Open Innovation Technology Market and Complexity · doi:10.3390/joitmc8030168 · Cited by 134 · see citing works

A New System for Surveillance and Digital Contact Tracing for COVID-19: Spatiotemporal Reporting Over Network and GPS

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MedMetaverse: Medical Care of Chronic Disease Patients and Managing Data Using Artificial Intelligence, Blockchain, and Wearable Devices State-of-the-Art Methodology

Murala, D. K., Panda, S. K., & Dash, S. P. (2023) · IEEE Access · doi:10.1109/access.2023.3340791 · Cited by 114 · see citing works

Applications of Blockchain in the Medical Field: Narrative Review

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Blockchain, artificial intelligence, and healthcare: the tripod of future—a narrative review

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Research on financing strategy under the integration of green supply chain and blockchain technology

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AI-Powered Blockchain Technology for Public Health: A Contemporary Review, Open Challenges, and Future Research Directions

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Higher albumin levels on admission predict better prognosis in patients with confirmed COVID-19

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Blockchain for Securing AI Applications and Open Innovations

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Digital Twins Generated by Artificial Intelligence in Personalized Healthcare

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Machine learning and deep learning to predict mortality in patients with spontaneous coronary artery dissection

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How will machine learning inform the clinical care of atrial fibrillation?

Siontis, K. C., Yao, X., Pirruccello, J. P., Philippakis, A. A., & Noseworthy, P. A. (2020) · Circulation Research · doi:10.1161/circresaha.120.316401 · Cited by 61 · see citing works

Skin-interfaced electronics: A promising and intelligent paradigm for personalized healthcare

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Physically defined long-term and short-term synapses for the development of reconfigurable analog-type operators capable of performing health care tasks

Choi, Y., Ho, D. H., Kim, S., Choi, Y. J., Roe, D. G., Kwak, C. H., Min, J., Han, H., Gao, W. F., & Cho, J. H. (2023) · Science Advances · doi:10.1126/sciadv.adg5946 · Cited by 59 · see citing works

Filling the trust gap of food safety in food trade between the EU and China: An interconnected conceptual traceability framework based on blockchain

Qian, J., Wu, W., Yu, Q., Ruiz-García, L., Xiang, Y., Jiang, L., Shi, Y., Duan, Y., & Yang, P. (2020) · Food and Energy Security · doi:10.1002/fes3.249 · Cited by 58 · see citing works

Edge Computing to Secure IoT Data Ownership and Trade with the Ethereum Blockchain

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Applications of Artificial Intelligence-Based Patient Digital Twins in Decision Support in Rehabilitation and Physical Therapy

Mikołajewska, E., Masiak, J., & Mikołajewski, D. (2024) · Electronics · doi:10.3390/electronics13244994 · Cited by 54 · see citing works

Decentralizing construction AI applications using blockchain technology

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Mindful Application of Digitalization for Sustainable Development: The Digitainability Assessment Framework

Gupta, S., & Rhyner, J. (2022) · Sustainability · doi:10.3390/su14053114 · Cited by 51 · see citing works

Artificial Intelligence-Powered Blockchains for Cardiovascular Medicine

Krittanawong, C., Aydar, M., Virk, H. U. H., Kumar, A., Kaplin, S. L., Guimaraes, L., Wang, Z., & Halperin, J. L. (2021) · Canadian Journal of Cardiology · doi:10.1016/j.cjca.2021.11.011 · Cited by 53 · see citing works

Tanshinone I exerts cardiovascular protective effects in vivo and in vitro through inhibiting necroptosis via Akt/Nrf2 signaling pathway

Zhuo, Y., Yuan, R., Chen, X., He, J., Chen, Y., Zhang, C., Sun, K., Yang, S., Liu, Z., & Gao, H. (2021) · Chinese Medicine · doi:10.1186/s13020-021-00458-7 · Cited by 50 · see citing works

Can blockchain link the future?

Qiao, L., Dang, S., Shihada, B., Alouini, M., Nowak, R. M., & Lv, Z. (2021) · Digital Communications and Networks · doi:10.1016/j.dcan.2021.07.004 · Cited by 44 · see citing works

Artificial Intelligence for Web 3.0: A Comprehensive Survey

Shen, M., Tan, Z., Niyato, D. T., Liu, Y., Kang, J., Xiong, Z., Zhu, L., Wang, W., & Shen, X. (2024) · ACM Computing Surveys · doi:10.1145/3657284 · Cited by 44 · see citing works

A Traditional Chinese Medicine Traceability System Based on Lightweight Blockchain

Wang, Z., Wang, L., Xiao, F., Chen, Q., Lu, L., & Hong, J. (2021) · Journal of Medical Internet Research · doi:10.2196/25946 · Cited by 41 · see citing works

Artificial intelligence and cardiology: Current status and perspective

Nakamura, T., & Sasano, T. (2021) · Journal of Cardiology · doi:10.1016/j.jjcc.2021.11.017 · Cited by 43 · see citing works

Recent advances in blockchain technology: a survey on applications and challenges

Hakak, S., Khan, W. Z., Gilkar, G. A., Assiri, B., Alazab, M., Bhattacharya, S., & Gadekallu, T. R. (2021) · International Journal of Ad Hoc and Ubiquitous Computing · doi:10.1504/ijahuc.2021.119089 · Cited by 46 · see citing works

Integration of cardiovascular risk assessment with COVID-19 using artificial intelligence

Suri, J. S., Puvvula, A., Majhail, M., Biswas, M., Jamthikar, A. D., Saba, L., Faa, G., Singh, I. M., Oberleitner, R., Turk, M., et al. (2020) · Reviews in Cardiovascular Medicine · doi:10.31083/j.rcm.2020.04.236 · Cited by 37 · see citing works

Assessment of blood perfusion quality in laparoscopic colorectal surgery by means of Machine Learning

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Decentralized AIoT based intelligence for sustainable energy prosumption in local energy communities: A citizen-centric prosumer approach

Anthony, B. (2024) · Cities · doi:10.1016/j.cities.2024.105198 · Cited by 33 · see citing works

Dynamics of Metaverse and Medicine: A Review Article

Kawarase, M. A., & Anjankar, A. P. (2022) · Cureus · doi:10.7759/cureus.31232 · Cited by 30 · see citing works

The TAO of Blockchain Intelligence for Intelligent Web 3.0

Li, J., & Wang, F. (2023) · IEEE/CAA Journal of Automatica Sinica · doi:10.1109/jas.2023.124056 · Cited by 29 · see citing works

Assessment of Blockchain Technology Application in the Improvement of Pharmaceutical Industry

Alshahrani, W. A., & Alshahrani, R. (2021) · International Conference of Women in Data Science at Taif University (WiDSTaif) · doi:10.1109/widstaif52235.2021.9430210 · Cited by 25 · see citing works

Predictive Value of Neutrophil/Lymphocyte Ratio (NLR) on Cardiovascular Events in Patients with COVID-19

Zhan, L., Liu, Y., Cheng, Y., Guo, W., & Yang, J. (2021) · International Journal of General Medicine · doi:10.2147/ijgm.s317380 · Cited by 23 · see citing works

Survey on Electronic Health Record Management Using Amalgamation of Artificial Intelligence and Blockchain Technologies

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Artificial Intelligence in Cardiovascular Disease Prevention: Is it Ready for Prime Time?

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Current Status and Future Perspectives on the Internet of Things in Oncology

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La integración de la inteligencia artificial en el abordaje clínico del paciente: enfoque en la imagen cardiaca

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Feasibility of Using the Metaverse as Telecardiology Platform: Remote Follow-up of a Patient With Vasospastic Angina

Skalidis, I., Müller, O., Fournier, S., Antiochos, P., Kaldasch, M., Idrissi, B. E., Briante, N., KOCHIADAKIS, G. E., Skalidis, E. I., & Maurizi, N. (2022) · Canadian Journal of Cardiology · doi:10.1016/j.cjca.2022.07.020 · Cited by 19 · see citing works

Anisotropicity and flexibility in trilayered microfibrous substrates promote heart valve leaflet tissue engineering

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Integration of artificial intelligence into clinical patient management: focus on cardiac imaging

Lončarić, F., Cámara, Ó., Piella, G., & Bijnens, B. H. (2020) · Revista Española de Cardiología (English Edition) · doi:10.1016/j.rec.2020.07.003 · Cited by 18 · see citing works

Fusion of Blockchain, IoT and Artificial Intelligence - A Survey

Koppu, S., Kannan, K., Somayaji, S. R. K., Iyapparaja, M., Wang, W., & Su, C. (2022) · IEICE Transactions on Information and Systems · doi:10.1587/transinf.2021bcr0001 · Cited by 21 · see citing works

Enhancing Healthcare Management during COVID-19: A Patient-Centric Architectural Framework Enabled by Hyperledger Fabric Blockchain

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Predictive Modeling for Pandemic Forecasting: A COVID-19 Study in New Zealand and Partner Countries

Baker, O. F., Ziran, Z., Mecella, M., Subaramaniam, K., & Palaniappan, S. (2025) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph22040562 · Cited by 15 · see citing works

The Possibilities of Blockchain Technology in Medicine (Review)

Litvin, A., Korenev, S. V., Knyazeva, E. G., & Litvin, V. (2019) · Современные технологии в медицине · doi:10.17691/stm2019.11.4.21 · Cited by 14 · see citing works

Blockchain-Enabled Detection of Neurological Disorders Using a Deep Learning Approach

Murthy, K. B. S., & Prasad, S. N. (2024) · International Conference on Recent Advances in Science and Engineering (RAiSE) · doi:10.3390/engproc2023059187 · Cited by 15 · see citing works

Metaverse and Telementoring: From Surgery to Workshop

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2024 Chinese guideline on the construction and application of medical blockchain

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A Comprehensive Survey of AI, Blockchain Technology and Big Data Applications in Medical Field and Global Health

Kaur, I., Kumar, Y., & Sandhu, A. K. (2021) · International Conference on Technological Advancements and Innovations (ICTAI) · doi:10.1109/ictai53825.2021.9673285 · Cited by 12 · see citing works

Blokzincir Teknolojisinin Sağlık Bilgi Sistemlerinde Kullanımı

Aydar, M., & Cetin, S. C. (2020) · European Journal of Science and Technology · doi:10.31590/ejosat.735052 · Cited by 10 · see citing works

User acceptability of blockchain technology for enabling electronic health record exchange

Baltruschat, L. M., Jaiman, V., & Urovi, V. (2023) · Journal of Systems and Information Technology · doi:10.1108/jsit-09-2022-0225 · Cited by 12 · see citing works

Emergent Bioanalogous Properties of Blockchain-based Distributed Systems

Abramov, O., Bebell, K. L., & Mojzsis, S. J. (2021) · Origins of Life and Evolution of Biospheres · doi:10.1007/s11084-021-09608-1 · Cited by 11 · see citing works

Future of Electronic Healthcare Management: Blockchain and Artificial Intelligence Integration

Verma, P., Rao, C. M., Chapalamadugu, P. K., Tiwari, R., & Upadhyay, S. (2024) · Blockchain technologies · doi:10.1007/978-981-97-1249-6_9 · Cited by 12 · see citing works

Artificial Intelligence and Health Inequities in Dietary Interventions on Atherosclerosis: A Narrative Review

Monlezun, D. J., & MacKay, K. (2024) · Nutrients · doi:10.3390/nu16162601 · Cited by 10 · see citing works

Swarm learning network for privacy-preserving and collaborative deep learning assisted diagnosis of fracture: a multi-center diagnostic study

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What can Blockchain technology bring to oral and maxillofacial radiology?

Bayrakdar, İ. Ş., Yaşa, Y., Duman, Ş. B., & Orhan, K. (2020) · Oral Surgery Oral Medicine Oral Pathology and Oral Radiology · doi:10.1016/j.oooo.2020.02.012 · Cited by 9 · see citing works

Blockchain Biology

Chin, A. C. (2020) · Frontiers in Blockchain · doi:10.3389/fbloc.2020.606413 · Cited by 9 · see citing works

Integrated approaches to reveal mechanisms by which RNA viruses reprogram the cellular environment

Haddad, C. M., Davila‐Calderon, J., & Tolbert, B. S. (2020) · Methods · doi:10.1016/j.ymeth.2020.06.013 · Cited by 9 · see citing works

Intelligent medicine and beyond

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System interoperability and data linkage in the era of health information management: A bibliometric analysis

Costa, T., Tiago, M. T. B., Martins, F., & Tiago, F. (2024) · Health Information Management Journal · doi:10.1177/18333583241277952 · Cited by 11 · see citing works

Introduction to artificial intelligence for cardiovascular clinicians

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Blockchain Empowerment in Healthcare: A Survey

Zhang, J., Yan, M., Tang, Z., He, Q., Bi, Y., Cai, Y., Zhang, Q., Yu, K., Yang, K., Chen, J., et al. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3572962 · Cited by 6 · see citing works

The Banking Industry in the Ecosystem of Digital Currencies and Digital Central Bank Currencies

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The scope of metaverse in dermatology

Pathania, Y. S. (2023) · International Journal of Dermatology · doi:10.1111/ijd.16604 · Cited by 6 · see citing works

Overall Survival in Heart Disease–Related Death in Non-Small Cell Lung Cancer Patients: Nonimmunotherapy Versus Immunotherapy Era: Population-Based Study

Safi, M., Kanesvaran, R., Alradhi, M., Al-Danakh, A., Ping, F., Al-Sabai, N., Shan, X., & Liu, J. (2020) · Frontiers in Oncology · doi:10.3389/fonc.2020.572380 · Cited by 6 · see citing works

Blockchain: chaining digital health to a new era

Yun, D., Chen, W., Wu, X., Ting, D. S. W., & Lin, H. (2020) · Annals of Translational Medicine · doi:10.21037/atm-20-2854 · Cited by 6 · see citing works

The Impact of Artificial Intelligence on Women’s Cardiovascular Disease Care

Chung, J., Thangathurai, J., Andrade-Bucknor, S. N., Parashar, S., Carta, K. G., Epp, M., & Ma, C. (2025) · Current Cardiology Reports · doi:10.1007/s11886-025-02250-7 · Cited by 5 · see citing works

Early outcome detection for COVID-19 patients

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Blockchain-Embedded Strategic Options for Satellite Operators: Sell, SataaS, or Dual?

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Artificial intelligence in cardiovascular medicine: An exoskeleton for perception, reasoning and action

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Blockchain technology in Cardiovascular Medicine: a glance to the future? Results from a social media survey and future perspectives

Spadafora, L., COMANDINI, G. L., Giordano, S. A., Polimeni, A., Perone, F., Sabouret, P. F., Leonetti, M., Cacciatore, S., Cacia, M. A., Betti, M., et al. (2023) · Minerva Cardiology and Angiology · doi:10.23736/s2724-5683.23.06457-8 · Cited by 4 · see citing works

Effective Integration of Artificial Intelligence and Blockchain Technologies for Empowerment of Drug Discovery and Development

Gomase, V. S., VISOKAR, D. L., & Chopade, V. V. (2025) · Current Drug Discovery Technologies · doi:10.2174/0115701638361312250402125556 · Cited by 3 · see citing works

Introducing blockchain technology in data storage to foster big data and artificial intelligence applications in healthcare systems

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Internet das Coisas de Saúde: aplicando IoT, interoperabilidade e aprendizado de máquina com foco no paciente

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Why Decentralize Deep Learning?

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Blockchain, Information Security, Control, and Integrity: Who Is in Charge?

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