Innovation and Artificial Intelligence in Healthcare

Authors

DOI:

https://doi.org/10.58676/sjmas.v2i1.48

Keywords:

Innovation in Health, Artificial Intelligence, Global Healthcare

Abstract

This paper examines the transformative impact of Artificial Intelligence (AI) in healthcare, delving into its potential and challenges. It analyses the integration of AI into medical practices, focusing on how it revolutionizes diagnostics, treatment planning, and patient care. AI deployment's ethical and legal implications in healthcare are critically assessed, highlighting the need for robust frameworks to safeguard patient privacy and data security. The paper advocates for interdisciplinary collaboration among healthcare professionals, ethicists, and legal experts to optimize AI's benefits while mitigating risks. It underscores the importance of continual education and policy development to adapt to the evolving landscape of AI in healthcare, aiming for improved patient outcomes and efficient healthcare delivery.

References

Benis, A., Tamburis, O., Chronaki, C., & Moen, A. (2021). One digital health: A unified framework for future health ecosystems. Journal of Medical Internet Research, 23(2), e22189. https://doi.org/10.2196/22189

Dash, S., Shakyawar, S. K., Sharma, M., & Kaushik, S. (2019). Big data in healthcare: Management, analysis and future prospects. Journal of Big Data, 6(1), 1-25. https://doi.org/10.1186/s40537-019-0217-0

Gerke, S., Minssen, T., & Cohen, G. (2020). Ethical and legal challenges of artificial intelligence-driven healthcare. In A. Bohr & K. Memarzadeh (Eds.), Artificial Intelligence in Healthcare (pp. 295-336). Academic Press. https://doi.org/10.1016/B978-0-12-818438-7.00012-5

Hermes, S., Riasanow, T., Clemons, E. K., Böhm, M., & Krcmar, H. (2020). The digital transformation of the healthcare industry: Exploring the rise of emerging platform ecosystems and their influence on the role of patients. Business Research, 13, 1033-1069. https://doi.org/10.1007/s40685-020- 00125-x

Huang, J., Wu, X., Huang, W., Wu, X., & Wang, S. (2021). Internet of things in health management systems: A review. International Journal of Communication Systems, 34(4), e4683. https://doi.org/10.1002/dac.4683

Lee, D., & Yoon, S. N. (2021). Application of artificial intelligence-based technologies in the healthcare industry: Opportunities and challenges. International Journal of Environmental Research and Public Health, 18(1), 271. https://www.mdpi.com/1660- 4601/18/1/271/pdf

Matheny, M., Israni, S. T., Ahmed, M., & Whicher, D. (Eds.). (2019). Artificial intelligence in health care: The hope, the hype, the promise, the peril. National Academy of Medicine. https://ehealthresearch.no/files/documents/Rapporter/Andre/2019-12-AI- in-Health-Care.pdf

Mathews, S. C., McShea, M. J., Hanley, C. L., Ravitz, A., Labrique, A. B., & Cohen, A. B. (2019). Digital health: A path to validation. NPJ Digital Medicine, 2(1), 38. https://doi.org/10.1038/s41746-019- 0111-3

Morley, J., Machado, C. C., Burr, C., Cowls, J., Joshi, I., Taddeo, M., & Floridi, L. (2020). The ethics of AI in health care: A mapping review. Social Science & Medicine, 260, 113172. https://drive.google.com/file/d/1Cwpwwp-e6oBu-V_7PoATDNSXsWyjKvjf/view

Morley, J., Machado, C., Burr, C., Cowls, J., Taddeo, M., & Floridi, L. (2019). The debate on the ethics of AI in health care: A reconstruction and critical review. SSRN. http://doi.org/10.2139/ssrn.3486518

Panch, T., Mattie, H., & Celi, L. A. (2019). The “inconvenient truth” about AI in healthcare. NPJ Digital Medicine, 2(1), 77. https://doi.org/10.1038/s41746-019-0155-4

Qadri, Y. A., Nauman, A., Zikria, Y. B., Vasilakos, A. V., & Kim, S. W. (2020). The future of healthcare internet of things: A survey of emerging technologies. IEEE Communications Surveys & Tutorials, 22(2), 1121-1167. https://doi.org/10.1109/COMST.2020.2973314

Reddy, S., Allan, S., Coghlan, S., & Cooper, P. (2020). A governance model for the application of AI in health care. Journal of the American Medical Informatics Association, 27(3), 491- 497. https://doi.org/10.1093/jamia/ocz192

Yaqoob, I., Salah, K., Jayaraman, R., & Al-Hammadi, Y. (2021). Blockchain for healthcare data management: opportunities, challenges, and future recommendations. Neural Computing and Applications, 34, 11475-11490. https://doi.org/10.1007/s00521-020-05519-w

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Published

2024-01-15

How to Cite

Tzenios, N. (2024). Innovation and Artificial Intelligence in Healthcare. Special Journal of the Medical Academy and Other Life Sciences., 2(1). https://doi.org/10.58676/sjmas.v2i1.48

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