摘要Artificial intelligence(AI)has emerged as a transformative technology in accelerating drug discovery and development within natural medicines research.Natural medicines,character-ized by their complex chemical compositions and multifaceted pharmacological mechanisms,demonstrate widespread application in treating diverse diseases.However,research and de-velopment face significant challenges,including component complexity,extraction difficulties,and efficacy validation.AI technology,particularly through deep learning(DL)and machine learning(ML)approaches,enables efficient analysis of extensive datasets,facilitating drug screening,component analysis,and pharmacological mechanism elucidation.The implement-ation of AI technology demonstrates considerable potential in virtual screening,compound optimization,and synthetic pathway design,thereby enhancing natural medicines' bioavail-ability and safety profiles.Nevertheless,current applications encounter limitations regarding data quality,model interpretability,and ethical considerations.As AI technologies continue to evolve,natural medicines research and development will achieve greater efficiency and preci-sion,advancing both personalized medicine and contemporary drug development ap-proaches.