Department of Chemistry, Bareilly College, Bareilly, Uttar Pradesh, India
JournalPIJST
Volume / Issue1 / 8
Pages31–43
Published31 Aug 2024
Paper IDPIJST18A24005
Views / Downloads1 / 1
Article summary
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.
Keywords
Artificial IntelligencePanchakarmaAyurvedic diagnosismachine learningpersonalized treatmentreal-time monitoringdosha assessmentAI in Ayurveda
Citation record
How to cite this article
Roopali Tandon, S. C. Mehra (2024). Integrating Artificial Intelligence in the Diagnosis and Management of Panchakarma Therapies. Procedure International Journal of Science and Technology, 1(8), 31–43. https://doi.org/10.62796/pijst.2024v1i8005
Roopali Tandon, S. C. Mehra. “Integrating Artificial Intelligence in the Diagnosis and Management of Panchakarma Therapies.” Procedure International Journal of Science and Technology, vol. 1, no. 8, 2024, pp. 31–43. https://doi.org/10.62796/pijst.2024v1i8005
Roopali Tandon, S. C. Mehra. “Integrating Artificial Intelligence in the Diagnosis and Management of Panchakarma Therapies.” Procedure International Journal of Science and Technology 1, no. 8 (2024): 31–43. https://doi.org/10.62796/pijst.2024v1i8005
Roopali Tandon, S. C. Mehra (2024) ‘Integrating Artificial Intelligence in the Diagnosis and Management of Panchakarma Therapies’, Procedure International Journal of Science and Technology, 1(8), pp. 31–43. Available at: https://doi.org/10.62796/pijst.2024v1i8005.
Roopali Tandon, S. C. Mehra, “Integrating Artificial Intelligence in the Diagnosis and Management of Panchakarma Therapies,” Procedure International Journal of Science and Technology, vol. 1, no. 8, pp. 31–43, 2024. https://doi.org/10.62796/pijst.2024v1i8005.
Roopali Tandon, S. C. Mehra. Integrating Artificial Intelligence in the Diagnosis and Management of Panchakarma Therapies. Procedure International Journal of Science and Technology. 2024;1(8):31–43. https://doi.org/10.62796/pijst.2024v1i8005.
Roopali Tandon, S. C. Mehra. Integrating Artificial Intelligence in the Diagnosis and Management of Panchakarma Therapies. Procedure International Journal of Science and Technology 2024, 1 (8), 31–43. https://doi.org/10.62796/pijst.2024v1i8005.
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