The market size will break the $25 billion "AI+Medical". What is the current situation?
"Al has the enthusiasm to be a doctor's hand and foot before he is determined to be the doctor's strongest brain," said Fei Xiaotong, chief engineer of Xuanwu Hospital Information Center of Capital Medical University. In the past two years, artificial intelligence technology has been widely used in various industries, and the medical and health field is one of the important application scenarios. According to statistics, by 2050, the world's artificial intelligence market will reach a total value of 127 billion US dollars, of which the medical industry will account for one-fifth of the market size. Artificial intelligence is so hot, but what about the specific landing in the hospital? At the 2018 China New Generation Artificial Intelligence Development Strategy International Symposium and Summit Forum-Intelligent Medical Sub-Forum held in Guangzhou, Lin Tianyi, Vice President of Sun Yat-sen Memorial Hospital of Sun Yat-sen University, and Fei Xiaotong, Chief Engineer of Xuanwu Hospital Information Center, Capital Medical University Qian Tianyi, director of the Tencent Medical Technology Committee, and others gave a keynote speech on the artificial intelligence in the hospital. The hospital needs a new clinical decision-making system, but its application is not satisfactory. “Al+Auxiliary†is the most important application scenario of artificial intelligence, which is of great significance for improving medical quality and efficiency. According to relevant data, the use of Al tools can shorten the recognition time of high-risk patients by 50%, and shorten the clinical time of patients by 72%, which can improve the diagnostic speed by about 51 seconds. In Fei Xiaotong's view, artificial intelligence has long been used in hospitals. The original clinical decision support system (CDSS) that helped doctors - "knowledge CDSS" is an artificial intelligence. It mainly relies on the clinical knowledge base to meet the user's query needs. But it also has obvious defects: first, it lacks the deep learning function of the machine; second, the data collection, processing and rules need to be completed manually, which takes a long time; third, the maintenance cost is high, and the timeliness of the existence of information is not Strong. However, the current clinical decision-making system emphasizes “newâ€. This “new†is embodied in: First, it can provide treatment solutions through artificial intelligence technology; secondly, it has machine learning function, which can continuously accumulate data. And continuous learning summary; again, dynamic and timely real-time docking data; finally can quickly complete the accumulation of expert experience, and update the treatment guidelines without affecting normal use. Obviously, hospitals need this new type of CDSS to improve the overall efficiency and quality of care of doctors. However, according to Fei Xiaotong, at present, the viscosity of the hospital for the new generation of CDSS is not so high. The main reason is that hospitals are not technology companies, and there is no high sensitivity to new technologies, so demand is not so high. Managing health is the development trend of “Al+Medical†"There is no real health at present," said Lin Tianqi, deputy director of Sun Yat-sen Memorial Hospital of Sun Yat-Sen University. Taking physical examination as an example, people go to the hospital for physical examinations and are guided by abnormal indicators. However, as the application of artificial intelligence in the medical field continues to deepen, the future development trend is to manage healthy data. Artificial intelligence develops a personalized health plan by combining people's health data to predict the risk of illness. However, as far as the current situation is concerned, the application of artificial intelligence is mainly reflected in the comprehensive transformation of the patient's treatment process and hospital business process. In the patient treatment process, the application of artificial intelligence can simplify the medical treatment process including registration, waiting, hospitalization deposit delivery, outpatient payment, and medication. In the registration section, artificial intelligence can be used for triage diagnosis; in the waiting section, relevant patient information can be imported into the attending doctor workstation through artificial intelligence. Through the simplification of the process, the patient only needs to go to the hospital for a doctor's diagnosis, which can save at least 2 hours of queuing time. The transformation of hospital business process is mainly reflected in: the application of intelligent logistics system, the operating room can be distributed through artificial intelligence logistics robot; the application of intelligent storage system, including emergency material IoT intelligent management system and clinical drug test data intelligent management system; intelligent The application of the imaging diagnosis system diagnoses multiple diseases such as pulmonary nodules and breast cancer through Al+ auxiliary examination. According to Lin Tianqi, for the diagnosis of pulmonary nodules, the doctors of the Second People's Hospital of Guangzhou have basically used artificial intelligence to help doctors perform auxiliary examinations. 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