If it can be detected early, the 10-year survival rate of early breast cancer can also exceed 80%, and the breast-conserving rate can reach 40-50%.
However, unfortunately, 75% of lung cancer patients in China are in advanced stage, and their 5-year survival rate is less than 20%; while the breast can be found early in less than 10%, a large number of patients with advanced cancer are not only for patients and families. It has brought a heavy economic burden, and it has brought tremendous mental pressure and caused numerous social tragedies.
How to make the early cancer in the bud state invisible? How to make more cancer patients enjoy higher quality of life and longer life span? How to support the frontier research on the pathogenesis of lung cancer with large-scale early screening action?
In May-July 2018, Shilou Town, Panyu District, Guangzhou City, in the low-dose spiral CT lung cancer early screening operation carried out by the Second Affiliated Hospital of Guangzhou Medical University, carried out health for tens of thousands of residents in just three months. The census, and completed 1323 lung cancer screening, successively screened 10 cases of lung cancer, 9 of which were early stage lung cancer, and confirmed by pathology.
In the large-scale top three hospital radiology staff has been very nervous, the daily imaging reading needs have been overwhelmed, who is supporting the implementation of such a large-scale lung cancer early screening action that lasts for several months and covers tens of thousands of people? Is it because doctors have three heads and six arms?
November 9 by the "AI cancer prevention map" plan view of a medical conference sponsored according to deputy director of the Guangzhou Medical University Second Affiliated Hospital of Radiology and Institute of Panyu District, Professor Zhang Zhenfeng, director of minimally invasive opened a mystery - artificial intelligent.
Professor Zhang Zhenfeng revealed that with the support of advanced medical artificial intelligence technology, the “AI+ Doctor†early screening mode greatly improved the early screening efficiency, enabling the early screening of tumors to be carried out efficiently, accurately and reliably, and timely discovering early lung cancer and improving The survival time and quality of life of cancer patients, and provide a wealth of data for the future research of large-scale lung cancer pathogenesis.
Anti-cancer, we can draw a map first
This trip to Panyu is an introduction to the anti-cancer map of Yitu Medical. In the past, the grading diagnosis and treatment may still be between words, but the grassroots actions in the past have made Etu feel the poverty and lack of basic medical care. Re-recognize the important role that AI technology can play in this era. Only auxiliary diagnosis is needed, and the underlying reasons behind the high prevalence need to be seen through big data.
At the 2018CCR conference, Yitu Medical announced the official launch of the “AI Anti-Cancer Map†project. It plans to invest 100 million yuan in project funds in the next five years, unite hundreds of medical institutions, cover 19 provinces and autonomous regions, and upgrade medical care with AI applications. Institutional service supply capacity, strengthen cancer population research, optimize early screening methods, and promote China's cancer screening into the "AI+" era.
“One hundred million yuan is very small, but as a startup company, we will do our best to promote the development of cancer screening.†Ni Hao, president of Yitu Medical, said at the press conference that “the AI ​​cancer prevention map mainly contains two Part I, first, we hope to provide technical and financial support for the hospitals that carry out screening services, improve the hospital's screening service capabilities, and accelerate the coverage of cancer screening. Second, we will carry out some research projects with the hospital. For example, we have established some prospective cohorts to track cancer patients and try to obtain information from the genetic perspective to explore the prevalence of cancer patients. We hope that through these research projects, we can guide and optimize the way cancer screening is carried out. "
Jin Zhengyu, director of the Department of Radiology of Peking Union Medical College Hospital, also talked about the early screening of cancer: "On the one hand, the pressure brought by people in today's fast-paced life, and the environmental pollution brought about by urban development are all important causes of cancer; On the other hand, people's awareness of cancer, early detection, and early prevention still need to be improved. Whether it is according to the map or our hospital itself, we need to work together to deal with these problems."
Technology is the core strength of the project operation
Not every company can carry out anti-cancer projects of this scale, and the realization of the goals requires hard power as a support.
According to the long-term commitment to artificial intelligence innovation research, the combination of advanced artificial intelligence technology and industry applications to build a safer, healthier and more convenient world, its products have now served in many areas such as urban public safety, medical health, and finance. In the battle against cancer, the following products were selected as weapons.
1. Lung cancer imaging intelligent diagnosis system
In the AI ​​anti-cancer map, lung cancer is the biggest enemy. The data showed that the 10-year survival rate of early lung cancer was 92%, while 75% of the confirmed cases were advanced, and the five-year survival rates of early and late were significantly different. Therefore, early diagnosis and early treatment can significantly reduce the mortality of patients, which is difficult to measure for the patients themselves and their families and society.
According to the research and development of the medical care. The research and development of aiTM lung cancer imaging intelligent diagnosis system has cooperated with more than 300 physicians. Following the Fleichner guide, NCCN guidelines, and Chinese expert recommendation programs, after 1 million+ training data training, the high detection sensitivity rate and high report adoption rate are available. Results.
Nowadays, the system can not only achieve the second-order detection of lung nodules quickly, accurately and reliably, but also realize the precise positioning of lesions, the identification of benign and malignant, automatic historical image contrast, etc., and can be seamlessly integrated into the clinical workflow. The sensitivity of writing structured reports is over 95%, and the clinical adoption rate of structured reports has reached 92%. It has become a clinician's assistant and second brain, and its comprehensive performance exceeds most competing products.
2. Mammography X-ray mammography intelligent imaging diagnosis system
According to statistics from the National Cancer Center of China, breast cancer ranks first in all the malignant tumors that women may suffer, accounting for 16.51%. Globally, breast cancer ranks first in the incidence of malignant tumors among women in both developed and developing countries, and the mammary gland has become an important application scenario for medical imaging AI.
However, the development of breast AI products is much more difficult than lung nodules. Especially the molybdenum target - the current Chinese doctors specializing in mammography x-ray molybdenum are extremely scarce and far from meeting clinical needs.
The mammography intelligent diagnostic system launched by Yitu Medical has been performing well for several years. The AI ​​system relies on powerful algorithm innovations and real breast image data of thousands of hospitals in the top three hospitals to realize mammography images. The second-level reading has a number of functions such as gland typing, lesion detection, symptom description, intelligent BI-RADS typing, and can automatically generate structured reports for use by imaging physicians.
These two types of products will play a role in cancer treatment, and more primary care will be able to obtain treatment capabilities that were not possible in the past under the support of AI products. Through this product writing, more people can experience AI through personal experience, and the popularity of tumor early screening in China will also be accelerated.
In the future, we need more people to work together.
The development of medical care is a long road, not completed overnight, and the “AI Anti-Cancer Map†project has created a good start. Ni Hao said: “The first batch of 19 cities are in the national anti-cancer framework. On the other hand, where is the country's early screening of cancer, we are here to support it. However, for many of the 19 provinces and cities, especially in remote areas, we also invested a lot of money. As long as there are plans to carry out the early screening of cancer, Yitu is willing to provide technology, funds and systems for these projects. At the same time, our research will continue to develop, and human understanding of cancer is still far from enough. We hope to see through the data. The problem is out."
"According to the mentality of the map has been fully prepared, of course, just according to the map is not enough to change the status quo of medical care. We hope to work with doctors, together with many life technology companies, to help cancer early screening, so that the entire society can Feel the value of artificial intelligence for medical care."
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