Govindaraj, Manoj and D., Anitha Kumari and Khan, Parvez and Krishnan, Ravishankar and Gnanasekaran, Chandramowleeswaran and Lawrence, Jenifer (2024) Revolutionizing Healthcare: The Transformative Impact of Artificial Intelligence. In: Revolutionizing the Healthcare Sector with AI. IGI Global Scientific Publishing, pp. 54-78.
Full text not available from this repository.Abstract
Manoj Govindaraj VelTech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, India https://orcid.org/0000-0003-2830-7875 Anitha Kumari D. Vels Institute of Science, Technology, and Advanced Studies, India Parvez Khan Atria University, India Ravishankar Krishnan VelTech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, India Chandramowleeswaran Gnanasekaran VelTech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, India Jenifer Lawrence Woldia University, Ethiopia https://orcid.org/0000-0002-4115-1521 Revolutionizing Healthcare The Transformative Impact of Artificial Intelligence
Artificial Intelligence (AI) is currently revolutionizing different aspects of the healthcare industry, making it a transformative force in the modern healthcare setting. This book chapter thoroughly analyses the significant influence of artificial intelligence (AI) on healthcare systems, carefully examining important applications and their consequences. A comprehensive investigation is carried out on the incorporation of diagnostic algorithms, predictive analytics, and personalized medicine, revealing their capacity to redefine the established level of medical treatment. The chapter specifically examines the impact of machine learning and deep learning techniques on medical imaging, highlighting their ability to improve diagnostic accuracy and efficiency. Moreover, the study explores AI-powered predictive models that not only transform preventive care but also enhance disease management and patient outcomes. The chapter examines the ethical implications of using AI in healthcare, while also discussing the importance of responsible and transparent methods.
chapter 3 2024 6 14 54 78 10.4018/979-8-3693-3731-8.ch003 20240726115917 https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-3731-8.ch003 https://www.igi-global.com/viewtitle.aspx?TitleId=352280 10.1186/s40537-017-0110-7 10.1377/hlthaff.2017.0446 10.1377/hlthaff.2019.00539 10.4103/jfmpc.jfmpc_440_19 10.1038/nrg.2016.86 Buolamwini, J., & Gebru, T. (2018). Gender shades: Intersectional accuracy disparities in commercial gender classification. Proceedings of Machine Learning Research, 81, 1-15. http://proceedings.mlr.press/v81/buolamwini18a.html 10.1001/jama.2017.7797 10.1093/jamia/ocy026 10.1056/NEJMp1714229 10.1056/NEJMsb2029340 Cohen, D., & Adar, E. (2019). How do you know? Building and measuring trust in AI. arXiv preprint arXiv:1912.08968. https://arxiv.org/abs/1912.08968 10.1055/s-0040-1713158 A comprehensive review of artificial intelligence in the diagnosis and treatment of breast cancer. C.Huang 2021 7 1 Journal of Cancer Research and Clinical Oncology HuangC.XuL.ShiY.ZhangL. (2021). A comprehensive review of artificial intelligence in the diagnosis and treatment of breast cancer.Journal of Cancer Research and Clinical Oncology, 147(1), 7–24. 147 10.1136/svn-2017-000101 10.1093/jamia/ocaa208 10.2217/pme-2018-0021 10.1186/s42400-019-0021-8 10.1177/1833358317703175 10.1093/jamia/ocy072 10.1038/s41591-019-0613-7 10.1038/s41586-019-1799-6 10.1177/2053951716679679 10.1056/NEJMp1606181 10.1126/science.aax2342 10.1016/j.artmed.2008.07.017 . Potter, K., Blessing, E., & Mohamed, S. (2024). Revolutionizing Healthcare: The Transformative Impact of Artificial Intelligence. 10.1007/s13755-018-0061-6 10.1038/s41746-018-0029-1 Understanding data security and privacy in the era of digital government transformation: A study of India. S.Sengupta 2017 245 2 Information Systems Frontiers SenguptaS.EasonK. (2017). Understanding data security and privacy in the era of digital government transformation: A study of India.Information Systems Frontiers, 19(2), 245–259. 19 10.1038/s41591-018-0300-7 Deep learning in medicine—Promise, progress, and challenges. F.Wang 2018 737 6 JAMA Internal Medicine WangF.CasalinoL. P.KhullarD. (2018). Deep learning in medicine—Promise, progress, and challenges.JAMA Internal Medicine, 178(6), 737–738. 178 10.3390/healthcare8020128 Artificial Intelligence in Healthcare: Strategic Planning and Implementation N.Wickramasinghe 2021 113 Artificial Intelligence in Healthcare: Theory and Application WickramasingheN.BaliR. K.LehaneyB. (2021). Artificial Intelligence in Healthcare: Strategic Planning and Implementation. In PreethikaB. R.DevikaS. (Eds.), Artificial Intelligence in Healthcare: Theory and Application (pp. 113–130). Springer.
Item Type: | Book Section |
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Subjects: | Computer Science Engineering > Artificial Intelligence |
Domains: | Management Studies |
Depositing User: | Mr IR Admin |
Date Deposited: | 23 Aug 2025 07:31 |
Last Modified: | 23 Aug 2025 07:31 |
URI: | https://ir.vistas.ac.in/id/eprint/10529 |