DOI: 10.62796/pijst.2024v1i8005

  DOI URL: https://doi.org/10.62796/pijst.2024v1i8005

Abstract- Artificial Intelligence (AI) is revolutionizing various fields of medicine, including traditional systems like Ayurveda. Panchakarma, known for its holistic detoxification and rejuvenation treatments, traditionally relies on patient-specific diagnostics such as dosha assessment, pulse diagnosis (Nadi Pariksha), and personalized treatment planning. By leveraging AI technologies, such as machine learning and predictive analytics, the accuracy and efficiency of these diagnostic tools can be significantly enhanced. AI algorithms can analyze patient health data, including symptoms, history, and physiological parameters, to provide real-time, data-driven insights that enable personalized treatment plans. Furthermore, AI-powered systems can monitor patient progress during Panchakarma therapies, offering feedback for dynamic adjustments in treatments and tracking vital signs. This approach not only streamlines the diagnostic process but also improves treatment outcomes by reducing human error and variability. As AI continues to evolve, its application in Panchakarma could lead to more efficient, personalized, and scalable Ayurvedic treatments, blending ancient wisdom with modern technology. Future research should focus on developing AI tools specifically tailored to Ayurvedic diagnostics and therapy management to ensure compatibility with the holistic nature of Panchakarma.