August 30-31, 2018 China (Shanghai) International Artificial Intelligence Exhibition and OFweek (2nd) hosted by China High-tech Industry Portal OFweek, the High-tech Association, OFweek Artificial Intelligence Network and OFweek Medical Technology Network The Artificial Intelligence Industry Conference was successfully held at the Shanghai International Sourcing Exhibition Center. On the 31st sub-forum: AI+ Medical Special, Qian Xiaohua, a special researcher and PhD supervisor of the School of Biomedical Engineering, Shanghai Jiaotong University, brought a keynote speech on “Medical Image Information System: Auxiliary Detection, Diagnosis and Exploration†from the artificial intelligence technology. In the medical field, the development status, artificial intelligence and medical imaging information system combined application and other aspects have been specifically discussed. Special Research Fellow, School of Biomedical Engineering, Shanghai Jiaotong University, Ph.D. Artificial intelligence technology boosts medical industry development In the speech, Qian Xiaohua brought "three early research systems based on non-enhanced ischemic stroke", "computer-assisted surgery system" and "on the understanding of the progress of true and false glioma after surgery". It shows us the great help of artificial intelligence technology for the medical process. Qian Xiaohua said that artificial intelligence technology assisted diagnosis not only improved the diagnostic accuracy of doctors, but also greatly improved work efficiency. Take the problem of true and false progress after glioma surgery as an example. Qian Xiaohua said that glioma is a malignant tumor with a survival period of only 18 months. The condition can be treated with postoperative chemoradiotherapy. But the key is easy recurrence. It is currently clinically followed up for follow-up diagnosis, which usually takes more than six months. However, gliomas only live for 18 months in total, and spending more than six months to diagnose will seriously affect the lives of patients. Therefore, they proposed combining image technology and gene technology to construct a two-year survival risk prediction model. According to the two-year survival value generated by the predictive model, the patient is divided into high-low risk patients, so that the clinical further diagnosis and diagnosis trend can be known. With artificial intelligence technology, it can avoid the inefficient diagnosis and treatment under the traditional medical mode, and the accuracy rate of the artificial intelligence diagnosis system is as high as 80%, which has exceeded the level of general medical practitioners. Analyze abstract features in deep learning into knowledge and features that people can understand Qian Xiaohua also mentioned that past doctors believe that the development of artificial intelligence technology is not yet mature, and artificial intelligence is a black box for people. Its incomprehensible knowledge and characteristics hinder the progress of people's medical technology. “In the past, no one was doing this based on hemispherical projection. How to project and see this seemingly missing and segmented and extracted in a closed area is the biggest difficulty. Our solution was obtained by the US Department of Health at the time. Supported by a $2.5 million research fund.†Qian Xiaohua proudly mentioned, “We interpret the abstract features in deep learning into knowledge and characteristics that doctors can understand. Doctors use judgments and knowledge to judge and evaluate artificial intelligence. The diagnosis results not only effectively improve the accuracy of diagnosis and treatment of the disease, but also improve the efficiency of doctors. For a long time, artificial intelligence technology has also been greatly developed in the medical field." Medical artificial intelligence, although advanced, cannot replace doctors In addition, Qian Xiaohua expressed the view that “medical artificial intelligence is advanced, but it cannot replace doctorsâ€. He used computer-assisted surgery system as an example. When the artificial intelligence system deals with the condition of infants with craniocerebral dystrophy, the difficulty and key point of the whole system lies in the segmentation and extraction and characterization of the cranial suture. The human eye can easily see the brain, but the computer does not understand it, because the brain seam does not exist in nature. The current deep learning still can't solve this problem. Therefore, Qian Xiaohua believes that although artificial intelligence technology has provided a lot of help for medical technology, it still has a certain gap with the human brain. Especially in the deep learning and understanding ability, artificial intelligence is far less than the human brain. In Qian Xiaohua's view, medical artificial intelligence is essentially impossible to replace doctors and can only be used in medical assistance. However, the development of artificial intelligence technology has undoubtedly provided tremendous help for medical technology advancement. Black Fungus Extract,Agaric Extract,Auricularia Auricula Extract,Auric Polysaccharide Shaanxi Zhongyi Kangjian Biotechnology Co.,Ltd , https://www.zhongyibiotech.com