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How Artificial Intelligence (AI) is Changing Healthcare Forever
Subject area: Science,Engineering and Technology · Area of research: AI automation and innovation
Abstract
Artificial Intelligence (AI) is soon to change the healthcare landscape of the world through not only revolutionizing diagnostics, treatment personalization, improving the monitoring of patients, and simplifying the functioning of hospitals. The article examines the deep and sustained effect of AI technology in various areas of healthcare with specific reference to the practical implementation in healthcare including medical image analysis, genomic sequencing, and clinical decision-making through AI technology. The paper provides an impartial account of AI introduction within the framework of the contemporary health care systems by posing both opportunities and challenges such as ethical issues, data privacy, and algorithm bias. Although the work is in line with the global trends in the research field and aligns with the increasing use of AI-based Software as a Service (SaaS) solutions, it requires additional empirical data and more emphasis on the reality of implementation, including cloud infrastructure, integration with electronic medical records (EMR), and return on investment (ROI). Viewed through the prism of the market trends of 2025, the paper points to the central role AI is assuming in driving the diagnostics process, allowing personalization, and enhancing remote patient monitoring. These changes in trends necessitate continued studies, development, and regulation to bring the potential of AI in the healthcare sphere into reality.
Keywords
Artificial Intelligence (AI), Personalized Medicine, Genomic Data Analysis, Drug Development, Predictive Analytics, Virtual Health Assistants, Remote Patient Monitoring, Chronic Disease Management, Healthcare Workflow Automation, Resource Allocation, Clinical Documentation, Data Privacy
References
[1] Jamil, G. L. (2024). When Things Changed: AI in Our Lives. Forever. In Perspectives on Artificial Intelligence in Times of Turbulence: Theoretical Background to Applications (pp. 13-33). IGI Global.
[2] Basu, Kanadpriya, Ritwik Sinha, Aihui Ong, and Treena Basu. "Artificial intelligence: How is it changing medical sciences and its future?." Indian journal of dermatology 65, no. 5 (2020): 365-370.
[3] Roski, Joachim, B. A. Hamilton, W. Chapman, J. Heffner, R. Trivedi, G. Del Fiol, R. Kukafka et al. "How artificial intelligence is changing health and healthcare." Artificial intelligence in health care: The hope, the hype, the promise, the peril. Washington DC: National Academy of Medicine (2019): 58.
[4] Noorbakhsh-Sabet, Nariman, Ramin Zand, Yanfei Zhang, and Vida Abedi. "Artificial intelligence transforms the future of health care." The American journal of medicine 132, no. 7 (2019): 795-801.
[5] Bohr, Adam, and Kaveh Memarzadeh. "The rise of artificial intelligence in healthcare applications." In Artificial Intelligence in healthcare, pp. 25-60. Academic Press, 2020.
[6] Gillner, Sandra. "We're implementing AI now, so why not ask us what to do?–How AI providers perceive and navigate the spread of diagnostic AI in complex healthcare systems." Social Science & Medicine 340 (2024): 116442.
How to cite this paper
@article{1710923,
author = { Adnan Ghaffar},
title = {How Artificial Intelligence (AI) is Changing Healthcare Forever},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {9},
number = {3},
pages = {1518-1523},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1710923.pdf},
abstract = {Artificial Intelligence (AI) is soon to change the healthcare landscape of the world through not only revolutionizing diagnostics, treatment personalization, improving the monitoring of patients, and simplifying the functioning of hospitals. The article examines the deep and sustained effect of AI technology in various areas of healthcare with specific reference to the practical implementation in healthcare including medical image analysis, genomic sequencing, and clinical decision-making through AI technology. The paper provides an impartial account of AI introduction within the framework of the contemporary health care systems by posing both opportunities and challenges such as ethical issues, data privacy, and algorithm bias. Although the work is in line with the global trends in the research field and aligns with the increasing use of AI-based Software as a Service (SaaS) solutions, it requires additional empirical data and more emphasis on the reality of implementation, including cloud infrastructure, integration with electronic medical records (EMR), and return on investment (ROI). Viewed through the prism of the market trends of 2025, the paper points to the central role AI is assuming in driving the diagnostics process, allowing personalization, and enhancing remote patient monitoring. These changes in trends necessitate continued studies, development, and regulation to bring the potential of AI in the healthcare sphere into reality.},
keywords = {Artificial Intelligence (AI), Personalized Medicine, Genomic Data Analysis, Drug Development, Predictive Analytics, Virtual Health Assistants, Remote Patient Monitoring, Chronic Disease Management, Healthcare Workflow Automation, Resource Allocation, Clinical Documentation, Data Privacy},
month = {September},
}