Reducing complexity to simplicity AI imaging plays a great role in disease diagnosis and treatment

2021-11-22

"Artificial intelligence has been widely used in the medical field, of which about 30% of artificial intelligence software is related to imaging. Artificial intelligence imaging (hereinafter referred to as AI imaging) plays an outstanding role in the detection, typing and quantitative diagnosis of vascular lesions and tumors, and is conducive to the prevention and treatment of major diseases such as heart, head, neck and liver." on November 19, in 2021, the peaceful use of space technology At the International Symposium on (Health), Wang Zhiqun, director of the imaging department of the Space Center Hospital, said that artificial intelligence can liberate doctors from heavy and repetitive work and allow doctors to devote more energy to difficult and complex diseases. "Ai imaging performed well in cardiovascular disease screening, lesion analysis, treatment scheme selection, risk prediction, etc." Wang Zhiqun introduced that the most commonly used method for diagnosing cardiovascular diseases, especially coronary heart disease, is coronary CT angiography. In this process, artificial intelligence can be used, including CT scanning, image processing, test report writing and film printing, which greatly improves the efficiency of the imaging department. Recently, the lancet A study was published to introduce that the pericoronary vascular inflammation can be automatically identified by artificial intelligence method, so as to provide clinical basis for early intervention in patients with coronary syndrome. AI images are also applied to cerebrovascular diseases. Wang Zhiqun mentioned that for patients with ischemic stroke, AI images can be used to diagnose the type of cerebral infarction and bleeding, improve the efficiency of diagnosis and treatment, and reduce artificial errors. At the same time, AI images can also detect plaque and provide a basis for selecting treatment plans. AI images can also evaluate patients with cerebral hemorrhage and predict their future In addition, in terms of vascular reconstruction, AI image reconstruction is more delicate and efficient than artificial reconstruction. In addition, AI imaging also has a place in neurodegenerative diseases, tumors and other diseases. Wang Zhiqun introduced that AI imaging can help doctors in lesion detection, tumor benign and malignant judgment, follow-up and operation planning. In recent years, artificial intelligence imaging has made great progress in the medical field. In 2015, artificial intelligence was applied to the detection of pulmonary nodules. AI imaging can quickly locate pulmonary nodules, especially micro nodules, which improves the diagnostic efficiency. In 2018, AI imaging was extended to cardiovascular and head and neck vessels. AI imaging can intelligently complete the automatic reconstruction of vascular images and automatically detect lesions in these fields.20 In 21 years, artificial intelligence can provide an important basis for clinical surgery through three-dimensional image reconstruction Wang Zhiqun said that with the increase of AI imaging application scenarios, some problems are gradually exposed. For example, AI imaging software system and hospital information system need to be integrated; there are many AI equipment manufacturers, and how to make efficient use of various resources needs to be explored; there are still many clinical diagnosis and treatment needs to be integrated by AI. (outlook new era)

Edit:Yuanqi Tang    Responsible editor:Xiao Yu

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