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The Use of Artificial Intelligence and Blockchain in Healthcare Applications: Introduction for Beginning Researchers

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Digital Technologies and Applications (ICDTA 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 668))

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Abstract

The healthcare sector is evolving daily thanks to fast evolution and rapid advancements. It benefits from novel technologies such as Artificial Intelligence (AI) and Blockchain. These technologies are causing significant revolutions in various areas of healthcare. This paper addresses the fundamentals and key concepts of AI and Blockchain and focuses on their main applications in healthcare. Then, it presents some research studies that use their integration. This work aims to demystify AI and Blockchain for readers. It will help especially beginning researchers to get started with these technologies and have an overview of their applications in healthcare.

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References

  1. Ekramifard, A., Amintoosi, H., Seno, A.H., Dehghantanha, A., Parizi, R.M.:A Systematic Literature Review of Integration of Blockchain and Artificial Intelligence, pp. 147–160 (2020)

    Google Scholar 

  2. Hussien, H.M., Yasin, S.M., Udzir, N.I., Ninggal, M.I.H. and Salman, S.: Blockchain technology in the healthcare industry: trends and opportunities. J. Ind. Inf. Integr. 22, 100217, (2021) https://doi.org/10.1016/j.jii.2021.100217

  3. Jiang, F., et al.: Artificial intelligence in healthcare: Past, present and future. Stroke Vasc. Neurol. 2(4), 230–243 (2017). https://doi.org/10.1136/svn-2017-000101

    Article  Google Scholar 

  4. Azbeg, K., Ouchetto, O., Andaloussi, S.J., Fetjah, L.: A taxonomic review of the use of iot and blockchain in healthcare applications a taxonomic review of the use of IoT and blockchain in healthcare applications. IRBM (2020) https://doi.org/10.1016/j.irbm.2021.05.003

  5. Tagde, P., et al.: Blockchain and artificial intelligence technology in e-Health. Environ. Sci. Pollut. Res. 28(38), 52810–52831 (2021). https://doi.org/10.1007/s11356-021-16223-0

    Article  Google Scholar 

  6. Vervoort, D., Guetter, C.R., Peters, A.W.: Blockchain, health disparities and global health. BMJ Innov. 7(2), 506–514 (2021). https://doi.org/10.1136/bmjinnov-2021-000667

    Article  Google Scholar 

  7. Paul, D., Sanap, G., Shenoy, S., Kalyane, D., Kalia, K., Tekade, R.K.: Artificial intelligence in drug discovery and development. Drug Discov. Today 26(1), 80–93 (2021). https://doi.org/10.1016/j.drudis.2020.10.010

    Article  Google Scholar 

  8. Rong, G., Mendez, A., Bou, E., Zhao, B., Sawan, M.: Artificial intelligence in healthcare : review and prediction case studies. Engineering 6(3), 291–301 (2020). https://doi.org/10.1016/j.eng.2019.08.015

    Article  Google Scholar 

  9. Fetjah, L., Azbeg, K., Ouchetto, O., Andaloussi, S.J.: Towards a smart healthcare system : an architecture based on iot , blockchain , and fog computing. 16(4), 1–18 (2021) https://doi.org/10.4018/IJHISI.20211001.oa16

  10. Hasselgren, A., Kralevska, K., Gligoroski, D., Pedersen, S.A., Faxvaag, A.: Blockchain in healthcare and health sciences—a scoping review. Int. J. Med. Inform., 134, 104040 (2020) https://doi.org/10.1016/j.ijmedinf.2019.104040

  11. Chattu, V.K.: A review of artificial intelligence, big data, and blockchain technology applications in medicine and global health. Big Data Cogn. Comput., 5(3), 41 (2021). https://doi.org/10.3390/bdcc5030041

  12. Imran, M., Zaman, U., Imtiaz, J., Fayaz, M. and Gwak, J.: Comprehensive Survey of IoT , Machine Learning , and Blockchain for Health Care Applications : A Topical Assessment for Pandemic Preparedness , Challenges , and Solutions. Electronics. 10(20), 1–37, (2021)

    Google Scholar 

  13. Atlam, H.F., Alenezi, A., Alassafi, M.O., Wills, G.: Blockchain with Internet of Things : Benefits , Challenges , and Future Directions. Int. J. Intell. Syst. Appl. 10(6), 40–48 (2018) https://doi.org/10.5815/ijisa.2018.06.05

  14. Al-Joboury, I.M., Al-Hemiary, E.H.: Consensus algorithms based blockchain of things for distributed Healthcare. Iraqi J. Inf. Commun. Technol., 3(4), 33–46 (2020) https://doi.org/10.31987/ijict.3.4.116

  15. Wang, W., Hoang, D.T.: A survey on consensus mechanisms and mining strategy management in blockchain networks. IEEE Access 7, 22328–22370 (2019). https://doi.org/10.1109/ACCESS.2019.2896108

    Article  Google Scholar 

  16. Azaria, A., Ekblaw, A., Vieira, T. and Lippman, A.M.: MedRec : Using Blockchain for Medical Data Access and Permission Management (2016) https://doi.org/10.1109/OBD.2016.11

  17. Verma, V.K., Verma, S.: Machine learning applications in healthcare sector : an overview Machine learning. Mater. Today Proc. 57, 2144-2147 (2022) https://doi.org/10.1016/j.matpr.2021.12.101

  18. Garg, A., Mago, V.: Role of machine learning in medical research: a survey. Comput. Sci. Rev. 40, 100370 (2021). https://doi.org/10.1016/j.cosrev.2021.100370

    Article  MathSciNet  Google Scholar 

  19. Sharma, S., Agrawal, J., Agarwal, S. and Sharma, S.: Machine Learning Techniques for Data Mining : A Survey no. I (2013)

    Google Scholar 

  20. Asante, D., Omar, T., Ganat, A., Gholami, R., Ridha, S.: Journal of petroleum science and engineering application of supervised machine learning paradigms in the prediction of petroleum reservoir properties : comparative analysis of ANN and SVM models. J. Pet. Sci. Eng., 200, 108182, (2021) https://doi.org/10.1016/j.petrol.2020.108182

  21. Nahavandi, D., Alizadehsani, R., Khosravi, A., Acharya, U.R.: Application of artificial intelligence in wearable devices: opportunities and challenges. Comput. Methods Programs Biomed. 213, 106541 (2022). https://doi.org/10.1016/j.cmpb.2021.106541

    Article  Google Scholar 

  22. Castiglioni, I., et al.: AI applications to medical images: From machine learning to deep learning. Phys. Medica 83(February), 9–24 (2021). https://doi.org/10.1016/j.ejmp.2021.02.006

    Article  Google Scholar 

  23. Elhassani, M.E., et al.: Deep Learning concepts for genomics : an overview. EMBnet J. 27, 990 (2022)

    Google Scholar 

  24. Kumar, P., Kumar, Y., Tawhid, M.A.: Machine Learning, Big Data, and IoT for Medical Informatics (2021)

    Google Scholar 

  25. Shamshirband, S., Fathi, M., Dehzangi, A.: A review on deep learning approaches in healthcare systems : taxonomies , challenges , and open issues. J. Biomed. Inform 113, 103627 (2021) https://doi.org/10.1016/j.jbi.2020.103627

  26. Khan, M., et al.: Applications of artificial intelligence in COVID-19 pandemic : a comprehensive review. Expert Syst. Appl., 185, 115695 (2021)https://doi.org/10.1016/j.eswa.2021.115695

  27. Bohr, A., Memarzadeh, K.: The rise of artificial intelligence in healthcare applications. INC (2020)

    Google Scholar 

  28. Chamola, V.: Artificial intelligence-assisted blockchain-based framework for smart and secure EMR management. Neural Comput. Appl. 7, (2022) https://doi.org/10.1007/s00521-022-07087-7

  29. Ghazal, T.M., et al.: Private blockchain-based encryption framework using computational intelligence approach. Egypt. Inform. J. 23(4), 69–75 (2022). https://doi.org/10.1016/j.eij.2022.06.007

    Article  Google Scholar 

  30. Qamar, S.: Healthcare data analysis by feature extraction and classification using deep learning with cloud based cyber security ☆. Comput. Electr. Eng., 104(PA), 108406 (2022) https://doi.org/10.1016/j.compeleceng.2022.108406

  31. Hasanova, H., Tufail, M., Baek, U.J., Park, J.T., Kim, M.: A novel blockchain-enabled heart disease prediction mechanism using machine learning ☆. Comput. Electr. Eng. 101, 108086 (2022) https://doi.org/10.1016/j.compeleceng.2022.108086

  32. Manocha, A., Afaq, Y., Bhatia, M.: Knowledge-based systems digital twin-assisted blockchain-inspired irregular event analysis for eldercare. Knowl.-Based Syst. 260, 110138 (2023). https://doi.org/10.1016/j.knosys.2022.110138

    Article  Google Scholar 

  33. Hassija, V., Ratnakumar, R., Chamola, V., Agarwal, S., Mehra, A.: Sustainable computing : informatics and systems a machine learning and blockchain based secure and cost-effective framework for minor medical consultations. Sustain. Comput. Informatics Syst.35, 100651 (2022) https://doi.org/10.1016/j.suscom.2021.100651

  34. Singh, S., Rathore, S., Alfarraj, O., Tolba, A., Yoon, B.: A framework for privacy-preservation of IoT healthcare data using Federated Learning and blockchain technology. Futur. Gener. Comput. Syst. 129, 380–388 (2022). https://doi.org/10.1016/j.future.2021.11.028

    Article  Google Scholar 

  35. Kumar, P., Kumar, R., Gupta, G.P., Tripathi, R., Jolfaei, A., Islam, A.K.M.N.: Journal of parallel and distributed computing a blockchain-orchestrated deep learning approach for secure data transmission in iot-enabled healthcare system. J. Parallel Distrib. Comput. 172, 69–83 (2023). https://doi.org/10.1016/j.jpdc.2022.10.002

    Article  Google Scholar 

  36. Kumar, R., et al.: Computerized Medical Imaging and Graphics Blockchain and homomorphic encryption based privacy-preserving model aggregation for medical images. 102 (2022)

    Google Scholar 

  37. Amponsah, A.A., Adekoya, A.F., Weyori, B.A.: A novel fraud detection and prevention method for healthcare claim processing using machine learning and blockchain technology. Decis. Anal. J., 4, 100122 (2022) https://doi.org/10.1016/j.dajour.2022.100122

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Correspondence to Majda Rehali .

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Rehali, M., Elhassani, M.E., jaouhari, A.E., Berrada, M. (2023). The Use of Artificial Intelligence and Blockchain in Healthcare Applications: Introduction for Beginning Researchers. In: Motahhir, S., Bossoufi, B. (eds) Digital Technologies and Applications. ICDTA 2023. Lecture Notes in Networks and Systems, vol 668. Springer, Cham. https://doi.org/10.1007/978-3-031-29857-8_98

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