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@article{191338,
author = {Manpreet Kaur},
title = {AI In Health Education and Healthcare System},
journal = {International Journal of Innovative Research in Technology},
year = {},
volume = {12},
number = {no},
pages = {5-8},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=191338},
abstract = {Artificial Intelligence (AI) is revolutionizing in health system by enabling proper diagnoses, predictions, drug development, and personalized care. Integration of AI with traditional and modern approaches—Ayurveda, Homoeopathy, and Allopathy—allows for developing an integrated healthcare platform that integrates technological preciseness with personalized healing. In Allopathy, AI support has been introduced in medical imaging, surgical robotics, and data-driven decision support systems that improve diagnostic correctness and patient care. In Ayurveda, AI support has been introduced in decoding Prakriti-based Constitutions, pulse analysis techniques known as "Nadi Pariksha," and generating herb-based prescriptions using computational intelligence. In Homoeopathy, AI support has been introduced in repertorization, taking cases, using AI in drug selections, and developing evidence-based correlations between symptoms and medicinal product. Integration of AI in all three healthcare approaches enables integration of medicines, which becomes common and relatively cheaper, makes healthcare better for the masses. This, however, requires some issues related to data privacy, algorithm development, lack of technology infrastructure, among others, to be dealt with. This paper critically evaluates how AI, in terms of potential, application, limitations, and form of tomorrow’s healthcare in these three healthcare systems, has immense potential when combined for activated personalized healing in the Twenty-First Century.},
keywords = {Artificial Intelligence, Ayurveda, Homoeopathy, Allopathy, Integrative},
month = {},
}
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