AI–Ayurveda Convergence: Reimagining Traditional Wisdom Through Ethical Digital Intelligence

Abstract

While Ayurveda offers a tried-and-true, person-centred understanding of health and illness, artificial intelligence provides previously unheard-of tools for decision support, data interpretation, and predictive modelling in the healthcare industry. An ethical and evidence-based integrative digital health model in India can be developed thanks to the intersection of these paradigms. The conceptual and methodological frameworks that connect AI applications to Ayurvedic concepts like Prakriti, Dosha balance, and customised therapies are described in this narrative review. It critically looks at projects like Ayurgenomics and the Ayush Grid, which show how machine learning can improve data organisation, drug discovery, and decision-making within AYUSH frameworks. It is discussed that ethical aspects such as algorithmic transparency, cultural sensitivity, and patient consent are necessary prerequisites for sustainable innovation. In order to guarantee that digital transformation enhances rather than replaces conventional clinical reasoning, the review emphasises the significance of human oversight, community involvement, and cross-disciplinary capacity building. India can lead the world in developing a participatory, equitable, and contextually adaptive healthcare model that combines advanced analytics and civilisational wisdom. This can be achieved by fusing Ayurveda's holistic vision with advanced analytics.