Integration of Artificial Intelligence in Ayurvedic Diagnostic Methods: A Comprehensive Systematic Review

Abstract

Ayurveda, the ancient Indian system of medicine, relies on a highly personalized, holistic approach to healthcare, fundamentally rooted in the equilibrium of the Tridoshas (Vata, Pitta, and Kapha). Traditionally, Ayurvedic diagnostics depend on the subjective expertise of practitioners through multi-modal clinical examinations, most notably the Ashtavidha Pariksha (eight-fold examination) and Prakriti (innate constitution) analysis. However, the subjective nature of these methods introduces inter-observer variability and limits their integration into modern, evidence-based healthcare systems. The advent of Artificial Intelligence (AI), encompassing machine learning (ML), deep learning (DL), computer vision, and natural language processing (NLP), has initiated a paradigm shift toward objective, data-driven, and scalable diagnostic methodologies. This comprehensive review examines the intersection of AI and Ayurvedic diagnostics, exploring current technological integrations across Nadi Pariksha (pulse), Jihva Pariksha (tongue), Drik Pariksha (eye), Mutra Pariksha (urine), and other classical assessment protocols. Recent literature indicates that AI-driven algorithms achieve high diagnostic accuracies—often exceeding 85% to 95%—in Dosha classification, Prakriti phenotyping, and disease prediction. The synthesis of wearable sensors, Internet of Things (IoT) devices, and sophisticated ML models facilitates the quantification of previously intangible Ayurvedic concepts. Furthermore, this report delineates the emergence of Ayurgenomics, AI-assisted Clinical Decision Support Systems (CDSS), and automated detoxification monitoring (Panchakarma). While the convergence of these epistemological systems presents unprecedented opportunities for integrative healthcare, significant challenges pertaining to data standardization, algorithmic interpretability, and rigorous clinical validation remain. By establishing a robust, evidence-based framework, AI possesses the potential to democratize Ayurvedic medicine, ensuring global accessibility while preserving its fundamental holistic essence.