Deep Learning for Mapping Ayurvedic Doshas to Modern Biomarkers Using AI

Approved

Relevance and Originality

This research explores an innovative intersection between ancient Ayurvedic principles and modern artificial intelligence, making it highly relevant in the context of holistic health management. By proposing a system that maps the Ayurvedic doshas (Vata, Pitta, and Kapha) to measurable health biomarkers, it offers a unique approach that blends traditional wisdom with contemporary technology. The originality lies in the potential to create a new framework for understanding health that incorporates both subjective Ayurvedic assessments and objective biomedical data.

Methodology

While the paper outlines a conceptual framework for the AI-based health management system, it would benefit from a more detailed methodology section. This should include specifics on how data from patient monitoring systems will be collected and analyzed, as well as how the conversion from dosha assessments to biometric indicators will be achieved. Additionally, clarifying the types of deep learning models intended for use, including training datasets and validation methods, would enhance the methodological rigor of the research.

Validity & Reliability

The research's validity rests on the integration of well-established medical biomarkers with Ayurvedic concepts. However, the reliability of the proposed system depends on rigorous testing and validation. The paper should address how it plans to ensure the accuracy of the dosha-biomarker mappings and how real-time data will be handled to avoid inconsistencies. Discussing potential challenges in data collection and interpretation, as well as strategies to mitigate these issues, would strengthen the argument for reliability.

Clarity and Structure

The paper presents its ideas clearly, but it could improve in structure. Breaking down the sections more explicitly—such as separating the introduction of Ayurvedic concepts from the AI methodology—would aid readability. Additionally, including diagrams or flowcharts to visually represent how the AI processes the data from patient monitoring systems to derive insights about dosha imbalances could enhance understanding.

Result Analysis

The potential outcomes of this research are intriguing, especially in how they might contribute to personalized health management. However, the paper would benefit from a discussion on how the findings will be validated and applied in practical settings. Including hypothetical case studies or scenarios demonstrating the application of the proposed system in real-world contexts would illustrate its practical implications. Furthermore, addressing possible limitations, such as the subjective nature of dosha assessments, could provide a more balanced view of the research's applicability.