The development of computer technology is becoming more and more mature. The application of artificial intelligence to the medical field has made important contributions to medical diagnosis and auxiliary detection. Using the powerful computing power of computers to replace humans in the automatic diagnosis of complex diseases has been enthusiastic by the majority of scientific researchers. In the current medical imaging diagnosis system, the location of the lesion is mainly found by observing the two-dimensional medical image sequence, and the signs of biological information cannot be accurately displayed. Through medical image analysis technology, two-dimensional images will be divided into three-dimensional models after image segmentation, image recognition, and three-dimensional imaging. In this way, it seems that the doctor can “hold the image volume data,” which can greatly improve the scientific and accurate diagnosis. Sex—this article applies artificial intelligence to medical imaging, combined with embedded technology, RFID technology and signal processing technology, and applies the new coronavirus pneumonia image to the artificial intelligence environment after processing, assisting doctors in diagnosis of the disease, and providing relevant information about patients record and manage the diagnosis and diagnosis, save and accumulate the experience and knowledge of famous doctors through the expert system, and then perform corresponding operations and analysis. Through the medical image intelligent analysis system, the safety risk of medical imaging artificial intelligence diagnosis is reduced from 81% to 11%, which greatly reduces the hidden safety hazards for doctors and patients, reduces the workload of doctors, and also reduces the cost of medical care by 79% It is reduced to 20%, which reduces the waiting time of patients and achieves the purpose of improving the accuracy of diagnosis.

中文翻译：

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医学影像人工智能在新型冠状病毒肺炎诊疗中的价值

计算机技术的发展越来越成熟。人工智能在医学领域的应用，为医学诊断和辅助检测做出了重要贡献。利用计算机强大的计算能力代替人类进行复杂疾病的自动诊断，一直受到广大科研人员的热烈追捧。在目前的医学影像诊断系统中，主要通过观察二维医学图像序列来发现病灶的位置，无法准确显示出生物信息的迹象。通过医学图像分析技术，将二维图像经过图像分割、图像识别、三维成像后，划分为三维模型。这样，看来医生可以“掌握影像体量数据”，可以大大提高诊断的科学性和准确性。性——本文将人工智能应用于医学影像，结合嵌入式技术、RFID技术和信号处理技术，将新型冠状病毒肺炎图像处理后应用于人工智能环境，辅助医生诊断疾病，并提供相关信息关于患者的诊断和诊断记录和管理，通过专家系统保存和积累名医的经验和知识，然后进行相应的操作和分析。通过医学影像智能分析系统，将医学影像人工智能诊断的安全风险从81%降低到11%，