Artificial Intelligence: Transforming Ayurveda, the Ancient Indian Medicine
Keywords:
Artificial Intelligence, Ayurveda, Ancient Indian MedicineAbstract
The 21st century is a testament to technological advancement, with its tendrils reaching into nearly every facet of our lives. One area experiencing a particularly exciting transformation is healthcare, and even the ancient wisdom of Ayurveda, the “science of life,” is being profoundly influenced by cutting-edge technology. The powerful force behind this change is Artificial Intelligence (AI), a field that allows computers and machines to mimic human intelligence. This article delves into the potential and current applications of AI in Ayurveda, examining how this technological revolution could enhance and modernize this 5000-year-old system of medicine.
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References
Agrawal, A., Patel, P., Shah, R., & Joshi, A. (2023). A machine learning approach for Ayurvedic pulse diagnosis using wearable sensors. Journal of Ayurveda and Integrative Medicine, 14(1), 100678.
Joshi, M., Sharma, K., Reddy, S., & Kumar, A. (2022). Artificial intelligence for personalized treatment planning in Ayurveda: A review. Alternative Therapies in Health and Medicine, 28(6), 54-61.
Kumar, P., & Sharma, R. (2020). AI-driven drug discovery in Ayurveda: A perspective on the integration of computational methods for herbal research. Journal of Ethnopharmacology, 258, 112897.
Lad, V. (2001). Ayurveda: The science of self-healing. Lotus Press.
Russell, S. J., & Norvig, P. (2021). Artificial intelligence: a modern approach (4th ed.). Pearson
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