REVIEW

Ethical issues in implementing artificial intelligence in healthcare

Koshechkin KA1, Khokholov AL2
About authors

1 First Moscow State Medical University named after I. M. Sechenov, Moscow, Russia

2 Yaroslavl State Medical University, Yaroslavl, Russia

Correspondence should be addressed: Konstantin A. Koshechkin
Nikitsky Boulevard, 13/1, of. 504, Moscow, 119991, Russia; ur.vonehces.ffats@a_k_nikhcehsok

Received: 2024-02-16 Accepted: 2024-03-02 Published online: 2024-03-31
|
  1. Yang X, et al. A large language model for electronic health records. npj Digit. Med. Nature Publishing Group. 2022; 5(1): 1–9.
  2. Koshechkin KA, Polikarpov AV, Radzievsky GP. Digital technologies to improve effectiveness of pharmacotherapy. Procedia Computer Science. 2018; 126. Russian.
  3. Medicine of the Future: EMC Introduces Breakthrough uMEDp Remote Diagnostics Technology in Russia. Available from URL: https://umedp.ru/press_releases/medicine_of_the_future_emc_introduces_in_russia_breakthrough_technology_for_remote_diagnostics.html (accessed: 30.05.2022). Russian.
  4. Schork NJ. Artificial Intelligence and Personalized Medicine. Cancer Treatment and Research. Springer International Publishing. 2019; 178: 265–283.
  5. Kormiltsyn A, Ljalik J. Multi Agent-Supported Dynamical Integration of Electronic with Personal Health Records on Blockchains for Ad-hoc Healthcare Quality Improvements. SmartHealthCareToday. 2018.
  6. Lebedev G, et al. Building a telemedicine system for monitoring the health status and supporting the social adaptation of children with autism spectrum disorders. Smart Innovation, Systems and Technologies. Springer Science and Business Media Deutschland Gmb H. 2019; 143:287–294.
  7. Donnelly D-L, Donnelly D. First Do No Harm: Legal Principles Regulating the Future of Artificial Intelligence in Health Care in South Africa. Potchefstroom Electron. Law J. North West University. 2022; 25(1): 1–43.
  8. Amisha, et al. Overview of artificial intelligence in medicine. J. Fam. Med. Prim. care. Medknow. 2019; 8 (7): 2328–2331.
  9. Tsyndymeyev A, Koshechkin K, Lebedev G. Scientific approaches to the digitalization of drugs assortment monitoring using artificial neural networks. Smart Innovation, Systems and Technologies. 2020; 193. Russian.
  10. Ota N, et al. A Concept for a Japanese Regulatory Framework for Emerging Medical Devices with Frequently Modified Behavior. Clin. Transl. Sci. Wiley-Blackwell. 2020;13(5):877.
  11. De Araujo D, et al. The regulation of artificial intelligence for health in Brazil begins with the General Personal Data Protection Law 2 AI regulation for health in Brazil begins with the LGPD Dourado DA e Aith FMA.
  12. Wang C, et al. Privacy Protection in Using Artificial Intelligence for Healthcare: Chinese Regulation in Comparative Perspective. Healthc. 2022; 10: 1878. Multidisciplinary Digital Publishing Institute. 2022; 10(10):1878.
  13. Bak M, et al. You Can’t Have AI Both Ways: Balancing Health Data Privacy and Access Fairly. Front. Genet. Frontiers Media S. A. 2022; 13: 1490.
  14. Sniecinski I, Seghatchian J. Artificial intelligence: A joint narrative on potential use in pediatric stem and immune cell therapies and regenerative medicine. Transfus. Apher. Sci. Elsevier Ltd. 2018; 57(3): 422–424.
  15. Cder Cber F. Using Artificial Intelligence & Machine Learning in the Development of Drug and Biological Products.
  16. GDPR text in Russian with comments and links | GDPR-Text.com. Available from URL: https://gdpr-text.com/ru/ (accessed: 23.01.2023).
  17. IEEE Global Initiative on Ethics in Artificial Intelligence and Autonomous Systems Available from URL: https://standards.ieee. org/wp-content/uploads/import/documents/other/ead_executive_summary_russian_v1.pdf (accessed: 14.02.2024).
  18. Jonathon Phillips P, et al. Four Principles of Explainable Artificial Mark A. Przybocki.
  19. Siyal A.A. et al. Applications of Blockchain Technology in Medicine and Healthcare: Challenges and Future Perspectives. Cryptography. MDPI AG. 2019; 3 (1): 3.
  20. Griggs K.N, et al. Healthcare Blockchain System Using Smart Contracts for Secure Automated Remote Patient Monitoring. J. Med. Syst. Springer New York LLC, 2018; 42(7):130.
  21. Jarzabek G, Schucht P, Rzeczkowski L. Patient and doctor-centric health ecosystem in specialised medicine engineered on blockchain. 2017.
  22. Bochenek T, et al. Systemic measures and legislative and organizational frameworks aimed at preventing or mitigating drug shortages in 28 European and Western Asian Countries. Front. Pharmacol. Frontiers Media S. A. 2018; 8. DOI: 10.3389/fphar.2017.00942
  23. Efimenko M, Ignatev A, Koshechkin K. Review of medical image recognition technologies to detect melanomas using neural networks. BMC Bioinformatics. 2020; 21.
  24. Pouly M, et al. Artificial intelligence in image analysis — fundamentals and new developments. Hautarzt. Springer Medizin, 2020; 71(9): 660–668.
  25. Liu H, Crespo RG, Martínez OS. Enhancing Privacy and Data Security across Healthcare Applications Using Blockchain and Distributed Ledger Concepts. Healthcare. MDPI AG. 2020; 8(3): 243.
  26. Da Vinci robotic surgeon accused of murdering a woman. Available from URL: https://naked-science.ru/community/929220 (accessed: 14.02.2024).