ISSN: 0000-0000
Dole V.1 , Deshpande P. 2
1Assistant Professor, Department of Rachana Sharir, Govt. Ayurved College, Nanded.
2Assistant Professor, Department of Rachana Sharir, Govt. Ayurved College, Nanded.
Date of Acceptance: 2025-07-24
Date of Publication:2025-09-02
Correspondence Address:
Keywords: Prakriti, Ayurgenomics, Artificial Intelligence, Ayurveda.
Source of Support: Nil
Conflict of Interest: Non declared
Background: The fusion of Artificial Intelligence (AI) and Ayurveda is opening exciting possibilities for personalized, preventive, and integrative healthcare. India’s AI-driven Ayurveda model is now globally recognized as a blueprint for integrating traditional medicine with modern tech. Aim and objectives: This comprehensive review aims to explore the role of application of Artificial Intelligence and Technology in Ayurvedic diagnostic enhancements through Prakriti analysis, Ayurgenomics, Drug discovery, knowledge digitalization and preservation. Methods: This comprehensive review is done by using books, various research articles, peer reviewed journals, Wikipedia. Result & discussion: Artificial intelligence systems examine patient data to improve diagnosis precision. To determine Prakriti precisely, they can combine environmental, behavioural, and genomic data. AI can standardize diagnostic procedures like tongue and pulse examinations by digitizing them. Based on a person's imbalances and constitution, AI creates customized remedies. AI forecasts interactions between plants and drugs and speeds up the search for therapeutic herbs. By creating customized herbal blends, it maintains traditional wisdom. Personalized lifestyle suggestions based on Ayurvedic principles are provided by AI-driven health monitoring. Conclusion: Application of AI technology with Ayurveda model is now globally recognized in health sector. Ayurveda education curriculum and research model are expanded by using AI tools. Ayur genomics field validates and improves Ayurvedic classifications for individualized treatment plans using genomic tools.