Using AI Algorithms and Machine Learning in the Analysis of a Bio-Purification Method (Therapeutic Emesis, Known as “Vamana Karma”): Protocol for a Mixed Methods Study
This work presents one of the first attempts to apply deep learning for objective analysis of the TE process in Ayurveda. By combining YOLOv9 for vomit detection and residual neural network for classification, the framework achieves promising accuracy in automated vomit identification. The results will demonstrate the potential of AI-assisted analysis in traditional medicine, although further clinical validation and expansion across multiple centers will be necessary before deployment in real-world settings.
Authors
- Anupma Gupta
- Sachin Kumar Singh
- Richard David
- Pooja Rani
- Anandaraman P V
- Sumit Kalra
Institutions
- Indian Institute of Technology Jodhpur (IN)
- Ministry of AYUSH (IN)
Publication Details
- Journal
- JMIR Research Protocols
- Published
- 2026-02-03
- DOI
- https://doi.org/10.2196/79875
- Primary Topic
- Nausea and vomiting management
- Type
- article
- Field-Weighted Citation Impact
- 0.00