USES AND RELEVANCE OF ARTIFICIAL INTELLIGENCE (AI) IN AYURVEDA

Abstract

Artificial Intelligence (AI) has emerged as one of the most influential technological advancements in modern healthcare and biomedical sciences. In recent years, its applications have expanded beyond conventional medicine to include traditional healthcare systems, such as Ayurveda. Ayurveda is an individualised system of medicine that emphasises maintaining health through personalised treatment approaches based on Prakriti, Dosha, Agni, Dhatu, and lifestyle factors. The integration of AI into Ayurveda offers new possibilities for enhancing diagnostic precision, disease prediction, treatment standardisation, educational methodologies, herbal research, and healthcare accessibility. AI technologies such as machine learning, natural language processing, predictive analytics, and expert systems can process complex clinical data and support evidence-based Ayurvedic practice. Furthermore, AI-assisted digitisation and interpretation of classical Ayurvedic literature may contribute significantly to the preservation and global dissemination of traditional knowledge. AI-based healthcare systems can also strengthen telemedicine services and support remote patient monitoring, thereby improving healthcare delivery in underserved areas. Despite these advancements, challenges such as a lack of standardised datasets, ethical concerns, limited interdisciplinary collaboration, and difficulties in quantifying subjective Ayurvedic parameters continue to hinder large-scale implementation. The present review article discusses the major applications, relevance, opportunities, limitations, and future prospects of Artificial Intelligence in Ayurveda.