APPLICATION OF ARTIFICIAL INTELLIGENCE IN THE PREPARATION AND STANDARDIZATION OF TRADITIONAL MEDICINE FORMULATIONS

Abstract

Traditional medicine remains a cornerstone of healthcare systems worldwide, particularly in developing regions. However, challenges related to variability in raw materials, lack of standardization, and limited reproducibility restrict its broader integration into evidence-based medicine. Artificial intelligence (AI) has emerged as a transformative tool capable of addressing these limitations through data-driven optimization, quality control, and predictive modeling. This study explores the role of AI technologies in the preparation, analysis, and standardization of traditional medicine formulations. By integrating AI with analytical techniques such as GC-MS, HPLC, and UV spectrophotometry, traditional medicinal preparations can achieve improved consistency, safety, and therapeutic efficacy. The findings demonstrate that AI-assisted workflows significantly enhance formulation accuracy, raw material selection, and process optimization, supporting the modernization of traditional medicine while preserving its empirical foundations.