Vol. 2, Issue 2, Part A (2025)

Background: Ayurveda, the ancient Indian system of medicine, emphasizes personalized holistic care, presenting unique opportunities for integration with Artificial Intelligence (AI). Since 2020, a growing body of research has explored AI applications in Ayurveda, such as diagnostic support, treatment personalization, drug discovery, and digital health. Objectives: To systematically review peer-reviewed literature (2020-2025) on AI applications in Ayurveda across domains like Prakriti analysis, Nadi Pariksha, disease diagnosis, drug formulation, Panchakarma optimization, telehealth, and Ayurgenomics. Methods: A comprehensive search of PubMed, Scopus, Web of Science, and AYUSH databases was conducted for English publications from Jan 2020 to Jul 2025. Search terms combined “Artificial Intelligence,” “machine learning,” “Ayurveda,” “Prakriti,” “Dosha,” etc. After screening titles/abstracts, 32 out of 68 eligible studies were included for qualitative synthesis. Data on study type, AI method, and Ayurvedic application were extracted. Results: AI methodologies like machine learning, neural networks, and NLP were used across Ayurvedic domains. Prakriti analysis showed 90-95% classification accuracy using biometric data, images, or questionnaires. Nadi Pariksha was modernized via IoT and ML for pulse waveform analysis. AI-based clinical decision support systems predicted conditions like gestational diabetes and suggested Ayurvedic management. In drug discovery, ML identified 17 antibacterial herbs from classical formulations. No clinical studies on AI-Panchakarma optimization were found, though conceptual frameworks exist. AI was also used in telemedicine to monitor vitals and Dosha levels. Early studies show AI aiding Ayurgenomics by correlating Ayurvedic phenotypes with genomic markers. Conclusions: AI is enhancing Ayurveda in constitution analysis, diagnosis, and herbal research. However, limitations like small-scale studies, lack of RCTs, and data standardization persist. Future work should focus on large-scale validation, integration of Ayurgenomics, and ethical AI frameworks. With scientific rigor, AI may revolutionize Ayurvedic healthcare while preserving its individualized, holistic essence.