AI assisted doctors improve the diagnostic efficiency of cardiovascular disease

Medical Network June 4th The Chinese Medical Association's thirteenth radiologist's annual meeting was held in Guangzhou from May 30th to June 2nd. The application value and clinical needs of AI in the prevention and treatment of chronic diseases such as cardiovascular disease became the concern of all parties. hot spot. Experts at the conference said that in the field of cardiovascular disease diagnosis and treatment, artificial intelligence will improve the diagnostic efficiency of doctors and reduce the rate of missed diagnosis.
According to the China Cardiovascular Disease Report 2018, there are 290 million cardiovascular disease patients in China, and the proportion of all deaths due to cardiovascular deaths in rural and urban areas exceeds 40%. In the cardiovascular field, coronary CT imaging (coronary CTA) is the most important imaging method for non-invasive diagnosis of coronary heart disease. However, the cardiovascular imaging diagnosis process is complicated and time consuming.
At this year's annual meeting, the Friendship Hospital affiliated to Capital Medical University led the study of coronary AI multi-center research involving more than 40 top three hospitals and several medical AI companies in the United Nations, and announced the AI ​​and human doctors in the coronary CTA. Advances in diagnostic studies and comparative studies of angiographic (DSA) gold standards.
Yang Zhenghan, director of the Department of Radiology, Beijing Friendship Hospital , introduced the AI-assisted diagnosis and the DSA gold standard . The accuracy and specificity of the diagnosis of cardiovascular AI is no less than that of the senior doctors of the top three cities in the first-tier cities. The interpretation efficiency is significantly better than the simple manpower interpretation.
At the same time, AI assist can also save doctors time spent on disease diagnosis time. Xu Lei, director of the Department of Radiology at Beijing Anzhen Hospital affiliated to Capital Medical University, said that the hospital has to do 300 coronary CT every day, and the workload is very large. After the doctor took the CT film, he will reconstruct the patient's more than one hundred images in three dimensions, and then write a report based on the reconstructed image, which takes only 30 to 40 minutes in the later time.
“Artificial intelligence is like a doctor's colleague, helping doctors reduce the amount of work.” Xu Lei said that after using the fully automated coronary heart disease intelligent assisted diagnosis system, the doctor enters the patient's original CTA image into the system. The system automatically completes the 3D reconstruction and outputs the intelligent structured report, which is greatly reduced to a few minutes.
Yang Zhenghan said that with the promotion of cardiovascular AI diagnosis in the future, it will help grassroots hospitals improve their medical capabilities and alleviate the shortage of medical resources in the top three hospitals.

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