Artificial intelligence in Ayurveda: Current concepts and prospects

Abstract

Abstract Background: Artificial intelligence (AI) has become a powerful tool in health care, and its integration with Ayurveda, presents promising opportunities. Aims: This review aims to Explore AI’s role in enhancing Ayurvedic diagnosis, personalized treatments, and drug discovery, challenges related to AI integration in Ayurveda. Methods and Materials: A comprehensive literature search was conducted to identify relevant studies and articles on the integration of AI and Ayurveda. The search included databases such as PubMed, Google Scholar, and relevant journals. The collected data were analyzed to present a comprehensive overview of the topic. Results: AI algorithms analyze patient data to enhance accuracy in diagnosis. They can integrate genomic, lifestyle, and environmental data for precise Prakriti determination. AI can digitize traditional diagnostic tools for standardization, such as pulse and tongue examination. AI tailors personalized treatments based on an individual’s constitution and imbalances. AI accelerates the discovery of medicinal herbs and predicts herb-drug interactions. It formulates personalized herbal combinations, preserving traditional knowledge. AI-driven health monitoring provides personalized lifestyle recommendations based on Ayurvedic principles. Conclusions: The integration of AI into Ayurveda holds promise in transforming traditional medicine and health care. Collaboration between Ayurvedic practitioners, technology experts, and policymakers is essential to address challenges. The future prospects of AI in Ayurveda are bright, offering personalized treatments, preventive health care, and research advancements while preserving Ayurveda’s holistic essence.