INTEGRATING ARTIFICIAL INTELLIGENCE WITH AYURVEDA : OPPORTUNITIES AND CHALLENGES
Background: In today's fast paced world, where change is accelerated and technological advancements are rapid. Ayurveda's timeless principles which prioritize health as the foundation of Dharma, Artha, Kama and Moksha must be adapted to modern realities through a strategic convergence with Artificial Intelligence. Different branches of Ayurveda also have many hidden opportunities which needs to be revealed so a comprehensive study of all the departments in integration with A.I. is a major requirement. Aim and Objective: The aim of this study is to explore the opportunities and challenges of integrating Artificial intelligence with Ayurveda. Methods: Discussion: It is an attempt which provides a conceptual framework of A.I. in the various Departments of Ayurveda. This synergistic fusion transforms the healthcare landscape by facilitating seamless collaboration among patients, clinicians, learners and academicians, making Ayurvedic knowledge accessible and user friendly, compiling and organising material. It will increase the effectiveness, accuracy and improves personalized diagnosis and treatment. Opportunities includes Data analysis, simulations, Robotics, A.I powered tools, In silico modelling, Smart learning, 3D modules and Online consultations. There are several limitations including lack of data availability, complexity of concepts of Ayurveda, lack of expertise. Opportunities and challenges goes hand in hand challenges must be rule Conclusion: d out while looking at opportunities. Several challenges are data privacy and security, misunderstanding complex Ayurvedic concepts, chances of technical errors, increases unemployment, reduces human skills. To combat these challenges Artificial intelligence can be utilised as an assistant but it can not take the lead.
Authors
- Shalini Gupta (ORCID: https://orcid.org/0000-0003-1147-9398)
- Lajwanti Keswani
Institutions
- Vaidyaratnam P.S. Varier Ayurveda College (IN)
Publication Details
- Journal
- INDIAN JOURNAL OF APPLIED RESEARCH
- Published
- 2025-03-01
- DOI
- https://doi.org/10.36106/ijar/8300518.
- Primary Topic
- Phytochemicals and Medicinal Plants
- Type
- article
- Field-Weighted Citation Impact
- 0.00