Each year, there are 781,500 new cases of lung cancer in China, and the annual number of lung cancer deaths reaches 626,400. The incidence and death of lung cancer account for 40% of global lung cancer incidence and death. In 2017, the development of artificial intelligence was officially written into the national government work report and became the 2030 healthy China development strategy.
In the "Health China 2030" Plan Outline, it is clearly stated that by 2030, the overall cancer 5-year survival rate will increase by 15%. How to improve early diagnosis and treatment of lung cancer, reduce lung cancer mortality has become the focus of national scientific research, how to promote low-dose spiral CT in lung cancer screening in high-risk population, using artificial intelligence and three-dimensional reconstruction technology scientific accurate diagnosis in screening and physical examination work The small nodules of the lungs and avoiding excessive diagnosis and treatment have become the focus of early diagnosis and treatment of lung cancer.
At present, the development and clinical application research of artificial intelligence in the medical field is still in its infancy. It is urgent to establish and improve the industry access mechanism and standards, form the consensus of medical and interdisciplinary experts as soon as possible, establish high-level artificial intelligence big data, and strengthen the industry. Internal communication and collaboration further promote the combination of medical work and medical integration, which is the current problem of artificial intelligence research and application in the medical field.
In view of this, the Capital Medical University Lung Cancer Clinic, Beijing University of Aeronautics and Astronautics Cross-Innovation Research Institute, China Thoracic Surgery Lung Cancer Alliance, Beijing Frontier International Artificial Intelligence Research Institute and other institutions jointly sponsored the "first China lung cancer and artificial intelligence peak Forum, Capital Medical University Xuanwu Hospital, Hangzhou Yingku Medical Technology Co., Ltd., Zhenhe Health (Beijing) Medical Technology Co., Ltd. and Gemaidi (Beijing) Medical Technology Co., Ltd. as the organizer.
Academician Fang Jiancheng, Vice President of Beijing University of Aeronautics and Astronautics, Professor Hu Wenliang, Secretary of the Party Committee of Capital Medical University, Vice President Wu Yingfeng of Xuanwu Hospital of Capital Medical University, and Dr. Zhi Xiuyi, Chairman of the Chinese Thoracic Surgery Lung Cancer Alliance, delivered an important speech at the forum. More than 300 experts from the field of artificial intelligence and young experts working in the field of lung cancer diagnosis and treatment in the clinical field attended the meeting.
Professor Zhi Xiuyi said in the opening speech that the forum aims to build a bridge of communication and cooperation between medical and engineering interdisciplinary, and promote and strengthen the research and application of artificial intelligence in the medical field. The first summit forum focused on the malignant tumor with the highest morbidity and mortality in China - lung cancer, combined with advanced artificial intelligence technology, organized multidisciplinary and interdisciplinary experts to discuss lung cancer screening and early diagnosis, precise diagnosis and surgical treatment of small pulmonary nodules Pre-navigation and positioning, etc. carry out clinical multi-center research and clinical practice, and establish a high-level database of lung cancer and artificial intelligence with Chinese characteristics.
Professor Zhi Xiuyi pointed out in the report that artificial intelligence technology can quickly and efficiently perform automatic detection and identification of small pulmonary nodules, improve the efficiency and accuracy of early lung cancer diagnosis, and greatly reduce the workload of doctors. Through the diagnosis of benign and malignant pulmonary nodules, patients with suspected early stage lung cancer are locked up to help determine the patient's follow-up time and decide whether medical intervention is needed.
Professor Zhang Yongkui introduced the research results and diagnosis and treatment experience of the Zhoushan Lung Cancer Center in the past 10 years in the diagnosis of pulmonary nodules. It pointed out that artificial intelligence has deep learning ability, improves the diagnostic accuracy, and effectively solves the different levels of imaging doctors and different state of the lungs. The impact of the diagnostic accuracy rate. At the same time, the use of artificial intelligence technology for early lung cancer screening and diagnosis can achieve full coverage in remote areas and primary hospitals, so that the diagnosis and treatment level of lung cancer in remote areas and primary hospitals can be homogenized with large cities, and three-dimensional reconstruction is among them. One of the core "weapons".
In this forum, many medical experts have expressed their opinions on how to quickly and accurately carry out early diagnosis and preoperative positioning and navigation of lung cancer, and on the preoperative planning, surgical design and simulation of the three-dimensional reconstruction technique. And the help of the popularization of precision minimally invasive surgery has shared my experience from multiple perspectives. Experts agree that three-dimensional reconstruction of medical images is an important aspect to guide clinical work. The biggest advantage is that it can improve the accuracy and safety of minimally invasive surgery, and at the same time effectively help primary hospitals and young doctors to familiarize themselves with the lung segment anatomy from a three-dimensional perspective. The structure shortens the learning curve of the resident, and the pre-operative conversation with the patient and the family becomes intuitive and direct, and it is easier to obtain the cooperation between the patient and the family. Further promote and popularize the application of three-dimensional reconstruction in the diagnosis and treatment of pulmonary nodules, so that this technology can better serve the clinic and benefit patients.
At this summit forum, around the status quo and development trend of artificial intelligence industry, China Xintong Institute, Tencent Company, Hangzhou Yingku Medical Technology Co., Ltd. (Incool3d), SDIC Innovation, Zhenhe Health (Beijing) Medical Technology Co., Ltd., Tiger Representatives from McGrady (Beijing) Medical Technology Co., Ltd., Taizhihui Industry Accelerator, Zhongguancun Medical Device Park, etc., expressed their opinions on the practice and industrial development trend of artificial intelligence in the field of lung cancer medical treatment, on how to integrate production in the field of medical and artificial intelligence. The study, research, and use of resources to serve the cross-disciplinary research and clinical practice of early diagnosis and precision treatment of lung cancer have been heatedly discussed.
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