Personalised Treatment Plans, AI-Powered Solutions, and Emerging Trends: Navigating the Future of Healthcare

Chinkal Arunkumar Parmar

Vol. 9, Jan-Dec 2023

Page Number: 28 - 33

Abstract:

Artificial intelligence (AI) technology is advancing rapidly, transforming patient diagnosis and treatment as well as the overall functioning of the healthcare system. This paper explores the burgeoning field of AI healthcare applications, focusing on personalized medicine and treatment plans. The research aims to examine the significant impact of AI on addressing the crises facing the healthcare industry. The introduction provides a contextual background on these issues. A comprehensive review of the existing literature offers insights into the current state of knowledge and sets the stage for future discussions. The paper delves into the challenges within the healthcare industry and the need for innovative solutions, emphasizing the role of AI in treatment planning and personalized medicine. It highlights the complexities of AI-driven decision-making and personalized patient guidance. To provide insights into the evolving landscape and its implications for healthcare professionals and patients, the research also examines the broader effects of AI on current healthcare advancements. The study also considers the top AI trends predicted to impact healthcare in 2023. Summarizing the key findings, the conclusion underscores how AI can revolutionize healthcare delivery, improve patient outcomes, and accelerate the sector's ongoing transformation.

References

• L.A. Zadeh, Fuzzy sets. Information and Control, 8(1965), 338-353. [3] K.T.Atanassov, Intuitionistic fuzzy sets. Fuzzy Sets and Systems, 20(1986), 87-96.
• Aryan Chaudhary, Rashmi Singh (2024), Wearable Computing: Exploring the Future of Augmented Humanity, https://www.appleacademicpress.com/wearable-computing-exploringthe- future-of-augmented-humanity/1553
• Lepore, D., Frontoni, E., Micozzi, A., Moccia, S., Romeo, L., & Spigarelli, F. (2022). Uncovering the potential of innovation ecosystems in the healthcare sector after the COVID-19 crisis. Health Policy, 127, 80-86. https://doi.org/10.1016/j.healthpol.2022.12.001
• Seastedt, Kenneth P., Patrick Schwab, Zach O’Brien, Edith Wakida, Karen Herrera, Portia Grace F. Marcelo, Louis Agha-Mir-Salim, et al. 'Global healthcare fairness: We should be sharing more, not less, data.' PLOS Digital Health 1, no. 10 (2022): e0000102.
• Maki, Omar, Mays Alshaikhli, Murat Gunduz, Khalid Kamal Naji, and Mahmoud Abdulwahed. 'Development of digitalization road map for healthcare facility management.' Ieee Access 10 (2022): 14450-14462.
• M.Khare, R.Singh, L-Contiguities and their order structure. Fuzzy Sets and Systems, 158(2007), 399-408.
• R.Singh, Anuj K.Umrao, On Finite Order Nearness in Soft Set Theory. WSEAS Transactions on Mathematics, 18(2019), 118–122.

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