Advancing Medicinal Plant Research with Artificial Intelligence: Key Applications and Benefits
Ydyrys A. Nurtayeva M. Yerkebayeva M.
October 2025Visagaa Publishing House
Natural Resources for Human Health
2025#5Issue 4740 - 775 pp.
Medicinal plant research has long been important to human health, but conventional approaches are frequently time-consuming and labor-intensive. The identification, categorization, and medicinal uses of plant-based chemicals are being transformed by the introduction of artificial intelligence (AI) into this field. The main AI-driven approaches in medicinal plant research are examined in this article, such as phytochemical profiling, plant identification and categorization, and predictive modeling for bioactivity and disease therapy. In addition to highlighting AI applications like machine learning (ML), deep learning (DL), and natural language processing (NLP) in plant taxonomy, drug development, virtual screening, and customized medicine, this study synthesizes data from top scientific databases. Researchers can boost biodiversity evaluation, increase agricultural output, and advance conservation efforts by integrating AI with traditional ethnobotanical expertise. Additionally, AI-powered tools help to improve disease prognosis and treatment strategies, opening up more effective avenues for medication development. The approaches, advantages, difficulties, and prospects for applying AI to the analysis of medicinal plant species, the identification of bioactive compounds, and the development of new treatments are all covered in this article. While overcoming the drawbacks of conventional plant research techniques, AI’s revolutionary role in improving the speed and precision of medicinal plant research has exciting prospects for improving healthcare and ecological conservation.
Artificial intelligence , Classification and recognition , Database , Deep learning , Medicinal plants
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Biomedical Research Centre, Al-Farabi Kazakh National University, Al-Farabi Avenue 71, Almaty, 050040, Kazakhstan
Specialized lyceum, #126, Aksay-4, Almaty, 050063, Kazakhstan
Secondary school, #42, Almaty, 050031, Kazakhstan
Biomedical Research Centre
Specialized lyceum
Secondary school
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