"AI+ doctor" for early tumor screening
November 15, 2018 Source: Nanfang Daily
Window._bd_share_config={ "common":{ "bdSnsKey":{ },"bdText":"","bdMini":"2","bdMiniList":false,"bdPic":"","bdStyle":" 0","bdSize":"16"},"share":{ }};with(document)0[(getElementsByTagName('head')[0]||body).appendChild(createElement('script')) .src='http://bdimg.share.baidu.com/static/api/js/share.js?v=89860593.js?cdnversion='+~(-new Date()/36e5)];Lung cancer is currently the number one cancer threat facing China. According to statistics, 590,000 people die of lung cancer every year in China. If it can be found early, the survival period and quality of life of lung cancer patients will be greatly improved, but the reality is that 70% of lung cancer patients are in advanced stage at the time of diagnosis. How can I find lung cancer in advance? Artificial intelligence (AI) is working in this area. Recently, the reporter was informed that the Second Affiliated Hospital of Guangzhou Medical University used AI automatic reading system to do tumor screening for more than 1,000 people and found 10 cases of lung cancer.
AI lung cancer early screening base layer small test knife
Early screening for lung cancer, low-dose spiral CT is a recognized means of examination. However, the current method of "manual filming, manual reading" adopted by lung cancer early screening is difficult to carry out extensively when the number of radiologists is extremely short and the work pressure is already very heavy. In this respect, the current hot AI reading function has a unique technical advantage. There are incomplete statistics in the industry. At present, nearly 40 companies including Internet giants Ali and Tencent have launched artificial intelligence products related to early screening of lung cancer.
The AI ​​products supported by the Second Affiliated Hospital of Guangzhou Medical University are from Yitu Medical. According to data released by Yitu Medical, the company's care.aiTM lung cancer imaging intelligent diagnosis system has functions such as benign and malignant differential diagnosis, automatic historical image comparison, and structured report. The clinical adoption rate of structured reports issued by AI has reached 92%. As of June this year, it has landed more than 100 top three hospitals nationwide and gradually expanded to county and municipal hospitals.
At the end of May-July this year, the Department of Radiology of the Second Hospital of Guangyi Hospital relied on the high-resolution low-dose CT and artificial intelligence automatic reading system of the whole lung to carry out free low-dose CT screening for residents over 50 years old in Haizhu District and Panyu District of Guangzhou City. In the large-scale lung examination public welfare activities of early lung cancer, a high-risk group was selected through questionnaires. A total of 30,000 people were investigated, and finally 1,323 (aged 50-91 years old, median age 61.48 years old, male 606 people) A female 717 person) underwent early screening of the tumor.
Physical examination results showed that 660 cases of pulmonary nodules (3mm or more intrapulmonary lesions) were found, accounting for 50.00% of the physical examination population, and 10 cases of lung cancer were diagnosed, including 9 cases in the early stage and 1 case in the late stage.
Professor Zhang Zhenfeng, deputy director of the Department of Radiology of the Second Hospital of Guangzhou Medical College and director of the Minimally Invasive Intervention Department of Panyu Institute, told the media that the introduction of advanced medical AI intelligent diagnosis system provides a powerful technology for early screening of large-scale diseases, especially early screening of tumors. Support, greatly improve the efficiency of image screening, reduce misdiagnosis and missed diagnosis, reduce the cost of screening, is an indispensable helper for radiologists.
“The significance of large-scale disease screening actions is not only in tumor screening, but also in the collection of regional lung cancer imaging and biological data, exploring the best management strategies for low-dose spiral CT screening of lung nodules. "The contribution of cancer prevention and cancer control", Professor Zhang Zhenfeng said, "In the small-scale urban population lung cancer early screening action, the detection rate of female lung cancer is significantly higher than that of men, which deserves further verification and reflection."
Medical imaging + AI promotes disease screening
According to the latest data from the National Cancer Center, in 2014, the number of new cases of malignant tumors in the country was 3.804 million, and the number of deaths was 2.296 million, and it is still growing.
Professor Zhou Chunwu, deputy dean of the Cancer Hospital of the Chinese Academy of Medical Sciences, believes that early screening of diseases is of great significance to the people and the country, and imaging examination is an important part of early screening of diseases. At present, with the rapid growth of the demand for medical treatment, imaging doctors generally face greater work pressure, and overtime reading becomes the norm. The introduction of medical artificial intelligence can improve the efficiency of imaging disciplines, reduce the workload of medical staff, reduce the occurrence of misdiagnosis and missed diagnosis, and provide strong technical support for the development of large-scale disease early screening actions.
With the wide application of medical AI in medical institutions, AI is becoming a doctor's assistant and "second brain." According to Ni Hao, president of Yitu Medical, Yitu Medical has launched the "AI Anti-Cancer Map" project, which is planned for the next 5 years. Invested 100 million yuan of project funds, combined with hundreds of medical institutions, covering 19 provinces, municipalities and autonomous regions, using AI applications to improve the service supply capacity of medical institutions, and promoting China's cancer screening into the "AI+" era.
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