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@article{207770,
        author = {Dr. Avinash S. Kadam and Dr shailesh Kinge and Dr. Bhushan R. Dhawale},
        title = {ARTIFICIAL INTELLIGENCE IN AYURVEDIC DIAGNOSIS: OPPORTUNITIES AND CHALLENGES},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {3},
        pages = {3699-3705},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=207770},
        abstract = {Artificial Intelligence (AI) is emerging as a transformative technology in healthcare, offering innovative approaches for disease diagnosis, prediction, and personalized treatment. In Ayurveda, AI has the potential to strengthen traditional diagnostic methods by integrating classical principles with modern computational techniques. Ayurvedic diagnosis is based on individualized assessment of Prakriti, Vikriti, Dosha, Dhatu, Mala, Agni, and other clinical parameters, which often require extensive clinical expertise and subjective interpretation. AI technologies such as machine learning, deep learning, natural language processing, and expert systems can analyze large volumes of patient data, identify hidden patterns, and support clinicians in making accurate and consistent diagnostic decisions. Applications include Prakriti assessment, disease prediction, pulse analysis, image-based diagnosis, electronic health records, and clinical decision support systems. Despite these opportunities, several challenges hinder the widespread implementation of AI in Ayurveda. These include the lack of standardized datasets, variability in traditional diagnostic practices, limited digitization of classical knowledge, concerns regarding data privacy, algorithm transparency, ethical issues, and the need for validation through evidence-based research. Furthermore, AI should be viewed as an assistive tool rather than a replacement for the clinical judgment and holistic approach of Ayurvedic physicians. Future research should focus on developing standardized digital databases, integrating multimodal clinical information, fostering interdisciplinary collaboration, and establishing regulatory frameworks to ensure the safe and effective use of AI in Ayurveda. The integration of AI with Ayurvedic principles has the potential to improve diagnostic accuracy, enhance personalized healthcare, preserve traditional knowledge, and contribute to the advancement of integrative medicine while maintaining the fundamental philosophy of Ayurveda.},
        keywords = {Artificial Intelligence, Ayurveda, Ayurvedic Diagnosis, Machine Learning, Prakriti, Dosha, Clinical Decision Support System, Personalized Medicine, Digital Health, Integrative Medicine.},
        month = {August},
        }