Value of medical imaging artificial intelligence in the diagnosis and treatment of new coronavirus pneumonia

Abstract

Abstract 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.