– published in Journal of Neonatal Surgery
Summary
From Dosha to Data: Training AI for Ayurvedic Diagnosis
The complexity of traditional Ayurvedic terminology is a major roadblock for modern Artificial Intelligence (AI). This paper introduces a crucial solution: data standardization using pre-defined ontologies to translate ancient concepts (like Doshas, symptoms, and treatments) into uniform terms. Training various Machine Learning models, the researchers achieved 100% accuracy with BERT, proving that standardization dramatically improves data quality and model performance. This research is essential for building robust, AI-based systems for Ayurvedic diagnosis and treatment recommendations.