RECENT ADVANCES IN KAYACHIKITSA INTEGRATING ARTIFICIAL INTELLIGENCE IN AYURVEDIC CLINICAL PRACTICE

Abstract

The internal medicine branch of Ayurveda known as Kayachikitsa uses the concepts of Tridosha, Agni, Dhatu, and Srotas to prevent and treat systemic illnesses. Artificial Intelligence (AI) has been incorporated into numerous healthcare systems in recent years due to rapid technology breakthroughs, opening up new possibilities for combining traditional medical expertise with contemporary digital technologies. AI integration in Ayurvedic clinical practice has the ability to improve clinical decision-making, enable individualized treatment plans, increase diagnostic precision, and promote Ayurvedic evidence-based research. In fields like Prakriti assessment, Nadi Pariksha analysis, clinical data management, and Ayurvedic drug discovery, artificial intelligence (AI) technologies like machine learning, natural language processing, and predictive analytics are being used more and more.These developments support the scientific validation of Ayurvedic treatments by facilitating the analysis of sizable datasets from clinical records and traditional texts. AI-assisted systems in the field of Kayachikitsa can help doctors diagnose illnesses, choose suitable herbal formulations, track treatment results, and forecast the course of diseases. Notwithstanding these encouraging advancements, there are still many obstacles to overcome, including a lack of standardized data, the complexity of converting Ayurvedic ideas into computer models, and ethical issues. The current paper examines how AI is changing Ayurvedic clinical practice while preserving the holistic and customized approach of Ayurveda, highlighting recent developments in its application in Kayachikitsa.