Sponsored by the Chinese Medical Association and the Chinese Medical Association Radiology Branch, the 24th National Radiology Academic Conference (hereinafter referred to as CCR 2017) of the Chinese Medical Association, hosted by the Shanghai Medical Association and the Shanghai Medical Association Radiology Branch, was held in October 2017. Held in Shanghai on the 12th-15th. As a leading company in the field of medical artificial intelligence in China, Yitu Medical and experts in the field of medical imaging have jointly explored how to accelerate the development of artificial intelligence in the medical field, and the top medical experts in the United Nations jointly established artificial intelligence medical imaging standards. China's artificial intelligence medical needs to be standardized The standardization of image data quality, quality control and diagnostic standards is the basis and premise for the development of medical artificial intelligence industry. The establishment of medical data standards and clinical diagnosis and treatment specifications is inseparable from the participation of medical experts and joint research in clinical multi-center. At CCR 2017, Professor Liu Shiyuan, Director of the Department of Imaging Medicine and Nuclear Medicine, Changzheng Hospital of Second Military Medical University, Professor Chen Min, Director of the Department of Radiology and Director of the Medical Imaging Center of Beijing Hospital, and Zhang Minming, Director of the Department of Radiology, Second Affiliated Hospital of Zhejiang University School of Medicine Professor Han Ping, director of the Department of Radiological Diagnosis, Union Hospital of Tongji Medical College, Huazhong University of Science and Technology, Professor Wu Jianlin, Associate Dean of Zhongshan Hospital, Dalian University, and Professor Gong Xiangyang, Director of Radiology Department of Zhejiang People's Hospital, discuss the artificial intelligence wave The establishment of medical imaging standards enables artificial intelligence medical care to help doctors faster and better, and ultimately serve the majority of patients. It is understood that the establishment of standards will initially include: image data standards for different inspections; diagnostic gold standards for different types of medical images and standard data sets containing annotations; structured report specification templates for different types of medical images; different types of image-assisted diagnostic products Clinical pathways, as well as training and growth systems for young doctors based on artificial intelligence technology. "It is very meaningful to do this activity according to the picture. It is very good in the domestic AI company. I hope that we can work hard to help us solve the clinical pain points." Director of the Department of Imaging Medicine and Nuclear Medicine, Changzheng Hospital, Second Military Medical University Professor Liu Shiyuan said. Medical and enterprise linkage, establish a more appropriate standard of practice Facing a single island of data centered on a single hospital, building a clinical multi-center medical imaging data platform and building a high-quality data platform for the development of artificial intelligence technology has been the desk study of many experts and doctors, and many visionary medicines. Experts have also begun to think about how to harness artificial intelligence technology and make artificial intelligence closer to the actual needs of the clinic. The establishment of medical data standards is the primary issue. “Artificial intelligence plays a very important role in accurate diagnosis and reduction of labor. We can use the time saved to communicate with more patients.†Chen Min, Director of Radiology Department and Director of Medical Imaging Center, Beijing Hospital When the professor talked about medical artificial intelligence, he said. As an empirical science, radiology is limited by doctors' fatigue and emotions in high-density work situations. It is one of the pain points that can be solved by new artificial intelligence technology. Therefore, the radiology department with a large amount of data has become the first breakthrough point of artificial intelligence in medical treatment. “The imaging doctor is definitely not a bystander in the AI ​​tide, and he has absolute right to speak in the process of data standardization.†Professor Zhang Minming, director of the Department of Radiology, Second Affiliated Hospital of Zhejiang University School of Medicine, also said that AI company as a waver and doctor expert Working closely together and doing quality control can be bigger and stronger. Professor Han Ping, director of the Department of Radiology, Union Hospital of Tongji Medical College, Huazhong University of Science and Technology, also said that “Yutu is a good student with potential. We are willing to be a good teacher and compile good teaching materials to cultivate it into a high level. Doctors." In 2016, Etu Medical entered the medical field and has launched a series of medical artificial intelligence products covering medical full-link data. It is the only artificial intelligence company in China that puts artificial intelligence products in the real clinical path, including chest CT intelligent auxiliary diagnosis products. It has been applied in dozens of top three hospitals across the country. The establishment of artificial intelligence medical imaging standards will directly affect the improvement of artificial intelligence algorithms for medical artificial intelligence companies including Yitu Medical, thus accelerating the development of medical artificial intelligence in China and benefiting more people. For medical artificial intelligence.
We're Professional Supplier Extract Powder manufacturers and suppliers in China specialized in providing high-quality products at low price. We warmly welcome you to buy or wholesale bulk Supplier Extract Powder for sale here from our factory. For a free sample, contact us now.
Supplier Extract Powder,Supplier Extract ,Supplier Powder Manufacturer in China Shaanxi Kang New Pharmaceutical co., Ltd. , https://www.bio-pharmacies.com