Role of Artificial Intelligence in Decoding Ayurveda's Implicit Principles- An Analytical Review

Abstract

Ayurveda, an ancient system of personalized medicine, rests upon foundational elements like the three Doshas (Vata, Pitta, Kapha), individual constitution (Prakriti), metabolic fire (Agni), bodily tissues (Dhatus), channels (Srotas), and vital energy (Ojas). These principles, though well-documented in foundational texts, often resist precise measurement and uniform application in modern scientific contexts. Emerging artificial intelligence (AI) technologies- ranging from predictive algorithms to data structuring frameworks- offer innovative ways to analyse, quantify, and implement these concepts while maintaining their core philosophical framework. This detailed analysis examines contemporary developments (2020–2025) in AI-driven approaches to Dosha evaluation, disease pathway modelling, herbal combination strategies, advanced diagnostic methods, treatment recommendation platforms, digital knowledge repositories, training simulations, experimental design enhancement, and production quality controls. Benefits such as improved assessment accuracy, widespread access to customized care, and stronger research validation are balanced against hurdles like limited data resources, conceptual translation difficulties, predictive model limitations, and concerns over knowledge preservation. AI serves as an enhancement tool for the clinician's reasoned approach rather than a substitute, promoting Ayurveda's integration into worldwide health practices.