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  5. Artificial intelligence and machine learning in Ayurveda: bridging traditional wisdom and modern data science
 
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Artificial intelligence and machine learning in Ayurveda: bridging traditional wisdom and modern data science

Source
International Journal of Ayurveda Research
Date Issued
2025-10
Author(s)
Dr Sairam Swaroop Mallajosyula  
Indian Institute of Technology, Gandhinagar
DOI
10.4103/ijar.ijar_327_25
Volume
6
Issue
4
Start Page
365
End Page
370
Abstract
The integration of Artificial Intelligence (AI) with Ayurveda offers new opportunities for evidence-based validation, personalized care, and digital transformation of Traditional Medicine. This perspective highlights the applications of AI and Machine Learning (ML) in digitizing Ayurvedic knowledge, Prakriti (~somatic constitution) assessment, and Formulation discovery through Natural Language Processing (NLP), Network Pharmacology, and Clinical Decision Support Systems (CDSS). It also discusses the challenges of data standardization, model interpretability, and ethical governance. Emerging tools such as Knowledge graphs and Digital twins suggest a future where AI serves as a Sahachari shakti (~a collaborative force), enriching rather than replacing, Ayurvedic wisdom.
URI
http://repository.iitgn.ac.in/handle/IITG2025/33709
Subjects
Artificial Intelligence
Ayurveda
Clinical decision support systems
Machine Learning
Traditional Knowledge Digital Library
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