Potential Application of Artificial Intelligence in Enhancing Ayurvedic Diagnostics W.S.R. to Rogi Pariksha (Patient Examination)
Author : Dr. Pranali A Nagdeve and Dr. Ravi K Golghate
Abstract :
Ayurveda, an ancient Indian system of holistic medicine, uses a comprehensive patient evaluation method called Rogi Pariksha. This technique integrates various observational, tactile, and interrogative diagnostic elements, including Nadi (pulse), Jihva (tongue), Mutra (urine) Pariksha etc. However, traditional methods are often criticized for their subjectivity and inconsistency. Artificial Intelligence (AI), particularly machine learning (ML), deep learning (DL), natural language processing (NLP), and computer vision (CV), presents significant potential to address these challenges. This paper explores in detail how AI can enhance Ayurvedic diagnostics by increasing precision, reproducibility, and scalability. With a deep dive into technological frameworks, implementation strategies, case studies, and ethical considerations, the article proposes a pathway for modernizing Ayurvedic diagnostics without compromising its foundational principles.
Keywords :
Ayurveda, artificial intelligence, rogi pariksha, machine learning, deep learning, diagnostic standardization, integrative medicine.
