Abstract

Abstract

Artificial Intelligence (AI) is rapidly transforming the landscape of healthcare, and its influence is now extending to traditional systems such as Ayurveda. Ayurveda, the ancient Indian system of medicine, is based on holistic healing and emphasizes the maintenance of health through balance in the body, mind, and environment. Its core principles revolve around Tridosha theory (Vata, Pitta, and Kapha) and Prakriti (the unique body constitution of each individual). These concepts guide both diagnosis and treatment, making Ayurveda deeply personalized. Despite its richness, Ayurvedic diagnosis and treatment planning often rely heavily on the practitioner’s personal experience, intuition, and interpretation of symptoms. This subjectivity can make it challenging to achieve standardization across practitioners, leading to variations in diagnosis and treatment outcomes. Here, AI offers significant potential. By applying machine learning algorithms, natural language processing, and data analytics, Similarly, AI-driven platforms can support practitioners in suggesting personalized herbal formulations, lifestyle modifications, or dietary recommendations by integrating patient history with classical Ayurvedic guidelines. Moreover, AI can contribute to clinical research in Ayurveda by ensuring evidence-based validation of therapies and providing tools for comparative studies with modern medical practices.Thus, AI holds the promise of bridging the gap between traditional wisdom and modern technology, making Ayurveda more accessible, standardized, and globally relevant without compromising its holistic essence.