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The integration of artificial intelligence (AI) with Ayurveda represents a transformative approach to health care that combines traditional medical wisdom with modern computational technologies.Artificial intelligence enables the digitization of classical Ayurvedic texts, supports drug discovery, and enhances clinical decision-making through predictive analytics and machine learning.Advanced algorithms facilitate objective assessment of Ayurvedic concepts such as prakriti, vikriti, and dosha patterns by analyzing multimodal data, including physiological biomarkers, pulse diagnostics, and electronic health records.Artificial intelligence-driven systems further support personalized treatment recommendations involving diet, lifestyle modifications, and herbal therapies.In research and education, AI accelerates evidence generation, herb-drug interaction analysis, and the development of intelligent learning platforms.However, challenges remain regarding data privacy, informed consent, intellectual property protection, and preservation of Ayurveda's holistic philosophical foundations.To ensure responsible implementation, AI should function as a complementary tool that augments clinical expertise rather than replacing it, fostering ethical, patientcentered, and evidence-based integration between traditional Ayurvedic knowledge and contemporary health care innovation.
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Gaurav R. Sawarkar (2026) studied this question.
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