THE SYSTEMIC LITERATURE REVIEW OF ARTIFICIAL INTELLIGENCE IN HEALTH CARE SECTOR
DOI:
https://doi.org/10.55829/res2se29Keywords:
Artificial Intelligence (AI), Healthcare Technology, Personalized Medicine, Ethical and Legal Challenges, Clinical Decision Support SystemsAbstract
Artificial Intelligence (AI) is changing healthcare. It offers new ways to improve how doctors diagnose and treat patients. AI also helps with patient monitoring and managing healthcare systems. This study looks at how AI tools like machine learning, deep learning, and natural language processing make diagnoses more accurate. They also help create personal medical plans and make hospital tasks smoother. The paper also discusses the ethical, legal, and privacy issues that come with using AI in healthcare. The paper also describes future ideas and changes for AI in healthcare. The results stress the need for a careful approach. This approach considers new technology along with ethical, legal, and infrastructure readiness. In order to understand all these aspects together researchers referred 100 research papers related to artificial intelligence in different areas. Out of which ,20 research papers related to artificial intelligence in healthcare are studied by researchers and based on that, it further categorized into 8 themes, which offers a holistic examination of artificial intelligence in healthcare sector.
References
[1] Abdallah, S., Sharifa, M., Almadhoun, M. K. I. K., Khawar Sr, M. M., Shaikh, U., Balabel, K. M., ... Ekomwereren, O. (2023). The impact of artificial intelligence on optimizing diagnosis and treatment plans for rare genetic disorders. Cureus, 15(10).
[2] Abidi, M. H., Rehman, A. U., Mian, S. H., Alkhalefah, H., & Usmani, Y. S. (2024). The role of AI in elevating hospital service quality: Framework, development, and applications. In Modern Healthcare Marketing in the Digital Era (pp. 211–224). IGI Global.
[3] Ahmadi, A. (2024). Digital health transformation: Leveraging AI for monitoring and disease management.
[4] Alrefaei, A. F., Hawsawi, Y. M., Almaleki, D., Alafif, T., Alzahrani, F. A., & Bakhrebah, M. A. (2022). Genetic data sharing and artificial intelligence in the era of personalized medicine based on a cross‐sectional analysis of the Saudi human genome program. Scientific Reports, 12(1), 1405.
[5] Alshamrani, M. (2022). IoT and artificial intelligence implementations for remote healthcare monitoring systems: A survey. Journal of King Saud University-Computer and Information Sciences, 34(8), 4687–4701.
[6] Bradford, L., Aboy, M., & Liddell, K. (2020). International transfers of health data between the EU and USA: A sector-specific approach for the USA to ensure an ‘adequate’ level of protection. Journal of Law and the Biosciences, 7(1), lsaa055.
[7] Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., ... Eirug, A. (2021). Artificial intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, 101994.
[8] Farid, F., Bello, A., Ahamed, F., & Hossain, F. (2023). The roles of AI technologies in reducing hospital readmission for chronic diseases: A comprehensive analysis.
[9] Gupta, R., Srivastava, D., Sahu, M., Tiwari, S., Ambasta, R. K., & Kumar, P. (2021). Artificial intelligence to deep learning: Machine intelligence approach for drug discovery. Molecular Diversity, 25, 1315–1360.
[10] Krones, F. H., & Walker, B. (2023). From theoretical models to practical deployment: A perspective and case study of opportunities and challenges in AI-driven healthcare research for low-income settings. medRxiv, 2023.2012.2026.23300539.
[11] 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.
[12] Leone, D., Schiavone, F., Appio, F. P., & Chiao, B. (2021). How does artificial intelligence enable and enhance value co-creation in industrial markets? An exploratory case study in the healthcare ecosystem. Journal of Business Research, 129, 849–859.
[13] McLennan, S., Fiske, A., Tigard, D., Müller, R., Haddadin, S., & Buyx, A. (2022). Embedded ethics: A proposal for integrating ethics into the development of medical AI. BMC Medical Ethics, 23(1), 6.
[14] Naik, N., Hameed, B., Shetty, D. K., Swain, D., Shah, M., Paul, R., ... Smriti, K. (2022). Legal and ethical consideration in artificial intelligence in healthcare: Who takes responsibility? Frontiers in Surgery, 9, 266.
[15] Patil, S., & Shankar, H. (2023). Transforming healthcare: Harnessing the power of AI in the modern era. International Journal of Multidisciplinary Sciences and Arts, 2(1), 60–70.
[16] Paul, D., Sanap, G., Shenoy, S., Kalyane, D., Kalia, K., & Tekade, R. K. (2021). Artificial intelligence in drug discovery and development. Drug Discovery Today, 26(1), 80.
[17] Păvăloaia, V.-D., & Necula, S.-C. (2023). Artificial intelligence as a disruptive technology A systematic literature review. Electronics, 12(5), 1102.
[18] Schwalbe, N., & Wahl, B. (2020). Artificial intelligence and the future of global health. The Lancet, 395(10236), 1579–1586.
[19] Shaik, T., Tao, X., Higgins, N., Li, L., Gururajan, R., Zhou, X., & Acharya, U. R. (2023). Remote patient monitoring using artificial intelligence: Current state, applications, and challenges. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 13(2), e1485.
[20] Shuaib, M., Alam, S., Alam, M. S., & Nasir, M. S. (2021). Compliance with HIPAA and GDPR in blockchain-based electronic health record. Materials Today: Proceedings.
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