This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.
Sneha Raina,
- , GN Group of Institutes,Greater Noida Knowledge park-2, Uttar Pradesh, India
Abstract
The fusion of blockchain technology and artificial intelligence (AI) is a groundbreaking innovation that has the potential to revolutionize numerous sectors. Blockchain being immutable in nature allows the data to be shared and stored securely and openly, while as AI can evaluate this data and provide insightful analysis. With the rapid development in the field of AI, we can analyze the developments done in the fields of healthcare, logistics, finance, image processing and so on. Together, these two technologies can enhance the efficiency, accuracy, and reliability of various processes. Our paper aims to showcase the impact of integrating these technologies so that they work together abstractly. Finance, healthcare, and logistics are just a few of the industries that could be significantly impacted by the amalgamation of the two. In the healthcare sector, AI can be used to analyze the data and predict the diseases, while as Blockchain will be used to store the patient records. AI can also be used to detect the frauds and prevent it too while as Blockchain can enable the use of digital signatures in numerous government sectors thereby providing additional security. As Blockchain technology and AI continue to evolve and mature, the possibilities for their integration are endless. Our review paper has illustrated all the potential cases that supports the integration of these two technologies thereby highlighting the use cases too.
Keywords: Blockchain, AI, Distributed ledgers, Decentralization, Transparency
References
1. A. İ. Tekkeşin, “Artificial Intelligence in Healthcare: Past, Present and Future,” Anatol. J. Cardiol., vol. 22, pp. 8–9, 2019, doi: 10.14744/AnatolJCardiol.2019.28661. 2. G. Rong, A. Mendez, E. Bou Assi, B. Zhao, and M. Sawan, “Artificial Intelligence in Healthcare: Review and Prediction Case Studies,” Engineering, vol. 6, no. 3, pp. 291–301, 2020, doi: 10.1016/j.eng.2019.08.015. 3. A. Haleem, M. Javaid, R. P. Singh, R. Suman, and S. Rab, “Blockchain technology applications in healthcare: An overview,” Int. J. Intell. Networks, vol. 2, no. May, pp. 130–139, 2021, doi: 10.1016/j.ijin.2021.09.005. 4. S. Khezr, M. Moniruzzaman, A. Yassine, and R. Benlamri, “Blockchain technology in healthcare: A comprehensive review and directions for future research,” Appl. Sci., vol. 9, no. 9, pp. 1–28, 2019, doi: 10.3390/app9091736. 5. P. Tagde et al., “Blockchain and artificial intelligence technology in e-Health,” Environ. Sci. Pollut. Res., vol. 28, no. 38, pp. 52810–52831, 2021, doi: 10.1007/s11356-021-16223-0. 6. M. N. Brohi, “Integration of IoT and Blockchain,” Tech. Rom. J. Appl. Sci. Technol., vol. 3, no. 8, pp. 32–41, 2021, doi: 10.47577/technium.v3i8.4692. 7. S. Sai, V. Chamola, K. K. R. Choo, B. Sikdar, and J. J. P. C. Rodrigues, “Confluence of Blockchain and Artificial Intelligence Technologies for Secure and Scalable Healthcare Solutions: A Review,” IEEE Internet Things J., vol. 10, no. 7, pp. 5873–5897, 2023, doi: 10.1109/JIOT.2022.3232793. 8. D. Ichikawa, M. Kashiyama, and T. Ueno, “Tamper-resistant mobile health using blockchain technology,” JMIR mHealth uHealth, vol. 5, no. 7, 2017, doi: 10.2196/mhealth.7938. © STM Journals 2021. All Rights Reserved 7 9. M. Benchoufi and P. Ravaud, “Blockchain technology for improving clinical research quality,” Trials, vol. 18, no. 1, pp. 1–5, 2017, doi: 10.1186/s13063-017-2035-z. 10. S. Khatri, F. A. Alzahrani, M. T. J. Ansari, A. Agrawal, R. Kumar, and R. A. Khan, “A Systematic Analysis on Blockchain Integration with Healthcare Domain: Scope and Challenges,” IEEE Access, vol. 9, pp. 84666–84687, 2021, doi: 10.1109/ACCESS.2021.3087608. 11. C. C. Agbo, Q. H. Mahmoud, and J. M. Eklund, “Blockchain technology in healthcare: A systematic review,” Healthc., vol. 7, no. 2, 2019, doi: 10.3390/healthcare7020056. 12. S. Kumar, W. M. Lim, U. Sivarajah, and J. Kaur, “Artificial Intelligence and Blockchain Integration in Business: Trends from a Bibliometric-Content Analysis,” Inf. Syst. Front., vol. 25, no. 2, pp. 871–896, 2023, doi: 10.1007/s10796-022-10279-0. 13. N. Tsolakis, R. Schumacher, M. Dora, and M. Kumar, “Artificial intelligence and blockchain implementation in supply chains : a pathway to sustainability and data monetisation ?,” Ann. Oper. Res., pp. 157–210, 2023, doi: 10.1007/s10479-022-04785-2. 14. A. Al Gharaibeh, S. Zhang, and P. S. Al-majeed, “INTELLIGENT SYSTEMS AND APPLICATIONS IN ENGINEERING Blockchain and Artificial Intelligence Integration in Public Sector Services : A Literature Review and Bibliometric Analysis,” 2024. 15. K. M. Alam, J. M. Ashfiqur Rahman, A. Tasnim, and A. Akther, “A Blockchain-based Land Title Management System for Bangladesh,” J. King Saud Univ. – Comput. Inf. Sci., no. xxxx, 2020, doi: 10.1016/j.jksuci.2020.10.011. 16. L. Zhou, L. Wang, and Y. Sun, “MIStore: a Blockchain-Based Medical Insurance Storage System,” J. Med. Syst., vol. 42, no. 8, 2018, doi: 10.1007/s10916-018-0996-4. 17. H. F. Anjum et al., “Mapping research trends of blockchain technology in healthcare,” IEEE Access, vol. 8, no. December, pp. 174244–174254, 2020, doi: 10.1109/ACCESS.2020.3025011.
Journal of Multimedia Technology & Recent Advancements
| Volume | 13 | |
| 03 | ||
| Received | 24/06/2026 | |
| Accepted | 15/08/2026 | |
| Published | 17/10/2026 | |
| Publication Time | 115 Days |