Intelligent consultation, “brushing face†for medical treatment, medical imaging-assisted diagnosis, and disease risk prediction... At present, artificial intelligence has gradually penetrated into many links such as medical consultation, triage, payment, and imaging diagnosis. The "China Mobile Internet Development Report (2018)" published on June 20 points out that in 2017 China's artificial intelligence industry will enter the fast-track development. At the same time, mobile Internet will provide rich application scenarios for artificial intelligence technologies in transportation, medical care and education. The application of artificial intelligence is reinforced in vertical areas such as retailing, e-commerce retail, live entertainment, etc. Mobile internet and artificial intelligence promote and integrate with each other. Since it was written into the government work report in March 2017, artificial intelligence has swept various industries and become the focus of new economic growth points and international competitiveness. The large amount of basic data in the medical industry in China, the relative lack of quality medical resources, and the urgent need for people's livelihood have become one of the most advanced frontiers for artificial intelligence out of laboratories and commercialization. In July 2017, the “New Generation Artificial Intelligence Development Plan†issued by the State Council pointed out that we must “accelerate the innovative applications of artificial intelligence to provide the public with personalized, diversified, and high-quality services†around the pressing needs of education for people, education, and elderly people. . At the executive meeting of the State Council held on April 12, 2018, the government decided to develop "internet + medical and health care" measures to alleviate the difficulty in seeing a doctor and improve the health of the people. At present, the application opportunities and challenges of artificial intelligence in the medical field coexist. What kind of sparks will the “artificial intelligence + medical care†collide with in the future? What changes will be made to people’s lives? What are the prospects for the future development of the industry? To this end, the reporter recently conducted Research interview. 1. The doctor is not enough? Artificial intelligence A large number of medical artificial intelligence startup companies have emerged in a concentrated manner. Internet giants at home and abroad are actively deploying medical artificial intelligence. Traditional medical companies have introduced artificial intelligence talents and technologies... In 2018, "artificial intelligence + medical care" was in full swing. The industry generally believes that this boom began in 2014. The consulting provided such data. In 2014, 2015, and 2016, the number of newly established artificial intelligence medical enterprises reached 24, 37, and 36, respectively, which is a rapid increase compared with 4 companies in 2013. At present, the number of artificial intelligence medical enterprises is still growing. “Why the fire? First of all, the technology is mature.†Shang Yi, an analyst at Yiou Think Tanks Medical Industry, believes that AI deep learning can help computers understand large amounts of images, sounds, and textual data, and the recognition rate can already be used commercially. Level. At the same time, medical treatment is a very traditional industry. The intervention of new technologies can promote its rapid development. Capital keenly captured the application of artificial intelligence in the medical field. According to the "2018-2023 China Artificial Intelligence Industry Market Preview and Investment Strategic Planning Analysis Report" published by the Industry Research Institute of Qianfeng, the market size of China's "artificial intelligence + medical care" reached 9.661 billion yuan in 2016, with a growth rate of 37.9%, 2017. This year will exceed 13 billion yuan, and is expected to reach 20 billion yuan in 2018. Behind the rapidly growing market size is the urgent need. Can artificial intelligence solve the problem of difficulty in seeing a doctor and expensive medical treatment? Zhang Minming, director of the Department of Radiology at the Second Affiliated Hospital of Zhejiang University School of Medicine, places high hopes on artificial intelligence technology: “I am very optimistic about the clinical application of artificial intelligence in medical treatment. This is already a very important issue in the 21st century. Artificial intelligence helps to relieve the current situation. The relative lack of medical resources in China has helped to improve the level of basic medical care." Perennially working at the frontline, Zhang Minming explained the importance of artificial intelligence technology in the medical field from the doctor's point of view: “It can help doctors relieve fatigue and reduce labor intensity. Artificial intelligence can replace our work with high repetitiveness and low technical content. In this way, we can use the saved time to communicate with more patients. More importantly, we can prevent missed diagnosis. For example, some small lesions may not be visible to the doctor. Artificial intelligence technology can remind doctors." In Shang Hao’s opinion, artificial intelligence technology will also advance classification diagnosis and treatment, and will sink high-quality medical resources to the basic level: “At present, China’s top-three hospitals have the best experts and first-class equipment, and primary hospitals have relatively insufficient medical resources. The experience of doctors is also relatively inadequate. In the future, with the aid of artificial intelligence, doctors equivalent to primary hospitals will also have mastered the experience of more than one hundred chief physicians in top hospitals, and will play an important role in helping to improve the medical level of primary hospitals." 2. Rich applications, "artificial intelligence + medical" more blooming The artificial intelligence system scans the chest organ within seconds, automatically locates the qualitative lesions and automatically generates a diagnostic report. This situation is no longer a science fiction scene. "The main purpose of the artificial intelligence reading system is to help doctors improve the accuracy and efficiency of reading and reduce misdiagnosis and missed diagnosis." According to Fang Yu, vice president of medical services, a very skilled doctor watching a film takes about 5 to 8 Minutes, with artificial intelligence technology, lesions can be marked up within a few seconds and a structured report generated, which is then provided to physicians for review as an auxiliary diagnostic result. It is understood that many domestic hospitals have already introduced artificial intelligence reading systems for the auxiliary diagnosis of diseases such as lung cancer, breast cancer, and abnormal growth and development of children, such as Fudan University Affiliated Cancer Hospital and Children's Hospital of Zhejiang University Medical College. Huazhong University of Science and Technology Tongji Medical College Union Hospital. In December 2017, the “Three-year Action Plan for the Promotion of the Next-Generation Artificial Intelligence Industry Development (2018-2020)†issued by the Ministry of Industry and Information Technology clearly stated that “accelerating the productization of medical image-assisted diagnostic systems and clinical auxiliary applicationsâ€. At present, medical image-assisted diagnosis has become one of the hottest applications in artificial intelligence medical field. Arterial network data show that half of the domestic medical artificial intelligence companies are involved in this application. Among these, most of them involve artificial intelligence in the diagnosis of pulmonary nodule projects. Zhang Minming said that pulmonary nodules may be the “signal lights†of lung cancer, so screening of pulmonary nodules is very important and can help achieve early screening for lung cancer. Zhang Minming told reporters that the screening of pulmonary nodules in the past relied on doctors' "eye-catching eyes," and on average, they saw hundreds of patients and tens of thousands of images per day. The workload was very large. However, after artificial intelligence screening, doctors will screen again on this basis, and there will be no problem after the second screening. In addition, in the application of disease risk prediction, clinical assisted diagnosis and treatment, intelligent health management, and hospital intelligent management, artificial intelligence technology is also accelerating integration. 3. Multi-party cooperation to improve the level of medical services In the medical and health industry, there are more and more application scenarios of artificial intelligence, and artificial intelligence technology has gradually become an important factor affecting the development of the medical industry and improving the level of medical services. Behind the flourishing development, the application and promotion of artificial intelligence in the medical field also face many problems and challenges. The first is the data problem. The landing of artificial intelligence applications requires quality data soil. "Although the overall volume of medical data in China is very large, there are still problems with insufficient data when it comes to certain types of medical problems." Shang Hao said that at the same time, the quality of data is not high enough. Take medical imaging as an example. Only clinically experienced doctors can label data for machine learning. This high-quality, tagged data resource is relatively limited. Currently, the top three hospitals have the vast majority of imaging data and experienced doctors, and are most capable of helping AI companies to make good models. Second, the lack of medical information standards is also a problem. "For example, for the marking of lesions in medical images, even doctors in the same department may have different ways of labeling. There is also a medical record. It is difficult for the patient's electronic medical record data to ensure full and accurate synchronization. Different doctors' names for each disease type There is a geographical difference in the name.†Fang Fang introduced that artificial intelligence is a powerful mathematical and strong logic tool, and requires high accuracy and standardization of content. There are also talent issues. “Medical itself is a very specialized field, and the breakthrough of artificial intelligence technology in medical applications is inseparable from the deep involvement of the medical community.†According to analysis, the most scarce in the field of artificial intelligence medicine is actually a composite talent, who must understand medicine. , but also understand artificial intelligence technology. The participation of medical professionals can make artificial intelligence team less detours, and many medical problems may also break through with the help of artificial intelligence. All problems ultimately point to cooperation. Zhang Minming appealed: "We must consciously integrate resources at the national level, sort out the development laws and pathways of clinical medical artificial intelligence, and encourage multi-depth cooperation among the medical community, research institutes, and enterprises to further promote the development of medical artificial intelligence." (Reporter Fang Quyun) Fingerprint Recognition Time Attendance Fingerprint Recognition Time Attendance,Employee Fingerprint Attendance Machine,Wall Mounted Fingerprint Attendance Machine,Fingerprint Attendance Equipment Chongqing Huifan Technology Co., Ltd , https://www.hfsecuritytech.com