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@article{178011,
        author = {Harshali Shende and Shushma Kawduji Girde and Harsha Sudhakar Mulekar and Chitra S. Paytode and Neha P. Rumale and Shivani D. Dhongde and Pratik Deepak Dhokne and Swapnil S. Tirmanwar},
        title = {Modern Approaches to Integrating Artificial Intelligence with Traditional and Herbal Medicine: A Review},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {3284-3290},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178011},
        abstract = {Traditional and herbal medicines have gained popularity worldwide due to their holistic approach and natural remedies. Artificial Intelligence (AI) can enhance various aspects of medicinal herbs, including new drug discovery, standardisation, authentication, machine learning, data mining, and natural language processing. The development of AI has introduced new opportunities and innovations for modernising traditional and herbal medicine. Integrating AI technology into the herbal medicine industry is expected to address major challenges and further advance the sector's modernisation. This review article offers insights into contemporary concepts and the potential of AI in promoting herbal medicine research to improve healthcare outcomes. Additionally, it highlights the drawbacks and challenges of incorporating AI into herbal medicine and suggests solutions to overcome these obstacles.},
        keywords = {Herbal Drugs, Artificial Intelligence, Traditional and Conventional Medicine, Natural Language Processing, Ayurveda, Algorithms. Integrative Medicine},
        month = {May},
        }