Abstract Ayurveda, with its holistic and individualized diagnostic approach, is increasingly intersecting with modern radiological tools like X-ray, etc. Recent research explores how combining these approaches can enhance diagnostic accuracy and standard care and improve patient outcomes, especially in musculoskeletal and surgical care. Ayurveda diagnosis is personalized, leading to leading ton variability across practitioners and a lack of a standardized diagnostic tool. Current tools are based on classical text and lack scientific validation. Modern diagnostic tools like X-ray, computed tomography, etc., can improve the diagnostic precision and guide interventions. These technologies complement Ayurveda assessment. X-ray imaging remains a cornerstone in medical diagnosis, integrating it in Ayurveda diagnosis, especially for musculoskeletal diseases, has proven to be a significant diagnostic tool in our perception and practice. There is a need for developing X-ray diagnosis of Ayurveda diseases in proper and appropriate Ayurveda terminologies to guide the classical line of treatment. Using standardized terminologies in Ayurveda diagnostics is essential for ensuring clear communication, consistency in clinical practice, and effective interprofessional collaboration. However, the lack of terminological clarity has led to confusion in both research and practice, highlighting the need for reflection and refinement at national and international levels. The integration of standardized X-ray terminologies in diagnostic and clinical settings has been less explored, thus increasing the need for understanding the benefits and challenges in implementation in Ayurveda.
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Mangesh Deshpande
Asian Institute of Medical Sciences
Hemlata Shete
J. S. Ayurveda Mahavidyalaya and P.D. Patel Ayurveda Hospital
Amit S. Dange
Asian Institute of Medical Sciences
Journal of Research in Ayurvedic Sciences
J. S. Ayurveda Mahavidyalaya and P.D. Patel Ayurveda Hospital
KLE Ayur World
Asian Institute of Medical Sciences
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Deshpande et al. (Wed,) studied this question.
synapsesocial.com/papers/69d8967d6c1944d70ce07e2d — DOI: https://doi.org/10.4103/jras.jras_85_25
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