国家药监局发布《药品监管人工智能典型应用场景清单》，推动AI技术在药品监管领域的应用
近日，国家药监局印发了一份《药品监管人工智能典型应用场景清单》，旨在推动人工智能技术在药品监管领域的研究探索。
随着科技的不断发展，人工智能已经逐渐融入各个领域。在药品监管领域，人工智能技术的应用也日渐受到关注。此次发布的清单列出了15个应用场景，其中包括说明书适老化改造、业务办理及政策咨询等。
针对药品说明书的适老化改造，人工智能将通过自然语言处理等技术，使说明书更加易于理解和使用，特别是对于老年人和非专业读者。此外，在业务办理和政策咨询方面，人工智能也可以提供智能化的服务，提高效率和便捷性。
国家药监局表示，人工智能的应用将有助于提升药品监管的智能化水平，从而更好地保障公众用药安全。同时，这也是药品监管领域向数字化、智能化转型的重要一步。
这份清单的发布，无疑为人工智能在药品监管领域的应用提供了更广阔的发展空间。期待未来更多的科技成果能够应用于药品监管领域，为公众健康保驾护航。
英语如下：
News Title: Drug Administration Lists AI Application Scenarios: Smart Technologies Assist in Drug Regulation and Public Service Upgrade
Keywords: AI technology applied in drug regulation, drug administration releases application scenario list, AI powers drug regulation scenarios
News Content:
The National Medical Products Administration (NMPA) released the “清单 of Typical Application Scenarios of Artificial Intelligence in Drug Regulation” to promote the application of AI technology in drug regulation.
Recently, the NMPA issued a list of 15 application scenarios for artificial intelligence (AI) in drug regulation, aiming to promote research and exploration in this field.
With the continuous development of technology, AI has gradually integrated into various fields. In the field of drug regulation, the application of AI technology has also attracted increasing attention. The list includes application scenarios such as adaptation of drug instructions for the elderly, business handling, and policy consultation.
For the adaptation of drug instructions for the elderly, AI will use natural language processing and other technologies to make the instructions easier to understand and use, especially for the elderly and non-professional readers. In addition, AI can also provide intelligent services in business handling and policy consultation, improving efficiency and convenience.
The NMPA stated that the application of AI will help to improve the level of intelligence in drug regulation, thus better ensuring public drug safety. At the same time, this is also an important step in the digital and intelligent transformation of the drug regulation field.
The release of this list undoubtedly provides more space for the application of AI in the field of drug regulation. It is expected that more technological achievements will be applied to drug regulation in the future, safeguarding public health.
【来源】https://ai-bot.cn/go/?url=aHR0cHM6Ly93d3cuaXRob21lLmNvbS8wLzc3Ni8wNjIuaHRt
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