This paper explores the application of artificial intelligence (AI) in medical device acceptance inspection,emphasizing the huge potential of AI in improving the efficiency and accuracy of acceptance inspection. Traditional manual acceptance inspection methods are inefficient due to the time-consuming and easily affected by human factors. However,AI can automate and standardize the acceptance inspection process through image recognition and machine learning technology. This article provides a detailed introduction to equipment classification,feature data extraction,and how to select and train AI models to improve acceptance accuracy. Additionally,there are challenges in complex equipment acceptance inspection with AI technology,which can be solved by introducing advanced algorithms and optimizing model training. In the future,AI will become an indispensable part of medical device management,driving the intelligent and digital development of the medical industry.
维普
万方数据
