关键词: 人工智能, 药品监管, 智慧监管, 药品审评, 应用展望

Abstract:

In recent years， artificial intelligence （AI） technology has been in the ascendant， especially with the continuous progress of generative AI technology and the continuous expansion of AI technology application scenarios. AI has become a new engine for economic growth and a new means to empower thousands of industries， and it has continuously promoted technological progress and industrial upgrading. As a basic and strategic industry related to the national economy and people's livelihood， how to use AI technology to improve the quality and efficiency of drug evaluation， shorten the drug evaluation cycle， and accelerate the launch of new drugs has become a new development direction for drug evaluation. Currently， the application of AI in drug intelligent supervision and drug evaluation is still in the exploratory stage. This study starts from the concept of AI， summarizes the development and application status of AI， and combines the development history and actual status of drug evaluation in China to analyze the current practical problems faced by drug evaluation， explore and prospect the application scenarios and future development directions of AI technology in drug evaluation. This study believes that the efficient application of AI in the drug evaluation process can effectively improve the quality and efficiency of drug evaluation， further accelerate the pace of new drug launch， with the continuous implementation of AI applications in the future. The application scenarios of AI will also continue to be enriched， including AI intelligent consulting robots， intelligent data governance， AI-assisted report analysis and interpretation， AI comparison of application materials， etc. With the help of AI technology， we can effectively improve the quality and efficiency of drug evaluation， promote the landing of more application scenarios of AI technology in drug evaluation， ensure drug safety， and stimulate the development of the entire industry chain.

Key words: Artificial intelligence, Drug supervision, Intelligent supervision, Drug evaluation, Application prospects