人工智能技术在兽药检验应用中的机遇、挑战与展望

Artificial Intelligence: Opportunities, Challenges and Prospects for the Quality Control of Veterinary Drugs and Chinese Veterinary Medicine

关键词:  人工智能技术  兽药检验  质量控制

Key words:  artificial intelligence  veterinary drug control  quality control

摘要:

旨在探讨人工智能(Artificial Intelligence, AI)技术在兽药检验领域的应用机遇及其所面临的挑战。AI技术凭借其卓越的数据处理、学习和预测能力，在兽药质量控制中展现出巨大潜力。通过综述相关文献和案例，本文认为人工智能技术在兽药检验中能够提高检测的准确性和可靠性及检测效率，有助于保障兽药质量。然而，目前仍面临数据收集与处理、算法优化以及法律法规等方面的挑战。展望未来，AI技术在兽药检验中的应用会更加的广阔，随着技术的不断进步与迭代升级，必将推动全行业的数字化转型和智能化升级，不断推进兽用中化药检验检测技术高质量发展，为提升兽药质量提供坚强技术保障。

Abstract:

This article aims to explore the opportunities and challenges of applying Artificial Intelligence (AI) technology in the field of veterinary drug testing. With its exceptional capabilities in data processing, learning, and prediction, AI technology has shown great potential in quality control of veterinary drugs. By reviewing relevant literature and cases, this article suggests that AI technology can improve the accuracy, reliability, and efficiency of drug testing in veterinary medicine. This improvement will contribute to the assurance of drug quality. However, there are still challenges in data collection and processing, algorithm optimization, and legal regulations. Looking ahead, the application of AI technology in veterinary drug testing will become even more extensive. Continuous technological advancements and iterations will drive the digital transformation and intelligent upgrading of the entire industry, promoting the high-quality development of veterinary drug testing technology and providing strong technical support for improving drug quality in veterinary medicine.