Integration of Artificial Intelligence in Ayurveda Diagnostics

Soniya Seshan; Man Mohan Sharma; Ved Prakash

doi:10.21760/jaims.9.11.30

Soniya Seshan Post Graduate Scholar, Dept. of Roga Nidan Evum Vikriti Vigyan, MMM Govt. Ayurved College, Udaipur, Rajasthan, India.
Man Mohan Sharma Professor, Dept. of Roga Nidan Evum Vikriti Vigyan, MMM Govt. Ayurved College, Udaipur, Rajasthan, India.
Ved Prakash Lecturer, Dept. of Roga Nidan Evum Vikriti Vigyan, MMM Govt. Ayurved College, Udaipur, Rajasthan, India.

DOI: https://doi.org/10.21760/jaims.9.11.30

Keywords: Prakriti Analyser, Nadi Tarangini, Tridosho Scanner, CureMetrix

Abstract

Ayurveda, an ancient medicinal practice, has long been revered for its comprehensive approach to healthcare. The incorporation of Artificial Intelligence into the field of Ayurvedic diagnosis signifies an intriguing blend of age-old knowledge and advanced technology, with the potential to transform the way we engage with individualized healthcare. The capacity of Artificial Intelligence to analyse extensive data, identify patterns, and provide predictions corresponds effectively with the personalized methodology of Ayurveda towards healthcare. This review aims to investigate the ways in which AI is improving the diagnostic process in Ayurveda, for improving the accuracy and efficacy of the same. A thorough search of literature was carried out to find relevant studies and articles regarding the fusion of AI and Ayurveda. Data from various sources such as PubMed, Google Scholar, and relevant academic journals were gathered and examined to provide a thorough understanding of the subject matter. Utilizing advanced technologies such as the Prakriti Analyser, Nadi Tarangini, Tridosho Scanner, and CureMetrix can significantly improve the diagnostic methods in Ayurveda through the integration of Artificial Intelligence. AI is poised to significantly enhance Ayurveda by increasing the accuracy of diagnosis thereby customizing treatment plans to better meet the specific needs of individuals. This will ultimately make Ayurvedic practices more accessible and efficient.

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