Releasing of The White Paper on Medical Imaging Artificial Intelligence in China |
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| Authors: | Chinese Innovative Alliance of Industry Education Research Application of Artificial Intelligence for Medical |
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| Affiliation: | 1. Trauma Center, The First Affiliated Hospital of Hainan Medical University, Haikou 570100, China;2. Key Laboratory of Emergency and Trauma of Ministry of Education, Hainan Medical University, Haikou 571199, China;1. Sixth Department of General Surgery, Shengjing Hospital of China Medical University, Shenyang 110004, China;2. Department of Rheumatology, First Affiliated Hospital of China Medical University, Shenyang 110001, China;3. China Medical University, Shenyang 110013, China;1. Department of Radiology, Hainan Hospital of Chinese PLA General Hospital, Sanya, Hainan 572013, China;2. Department of Radiology, PLA 305 Hospital, Beijing 100017, China;3. Department of Radiology, Chinese PLA General Hospital, Beijing 100853, China |
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| Abstract: | In the afternoon of March 26,2019, The White Paper on Medical Imaging Artificial Intelligence in China was officially released in Beijing by the Chinese Innovative Alliance of Industry, Education, Research and Application of Artificial Intelligence for Medical Imaging (CAIERA). The white paper was co-operatively written by the medical imaging experts from the tertiary Chinese hospitals, the scientific experts from AI research institutions and the leading AI medical enterprises in China. The contents of the white paper not only cover the up-to-date application of AI in medical field, the latest advances of AI algorithms in medical image processing, the data requirement for medical AI development, and the current situation of structured data, but also expatiate the goal and challenge of clinical application for medical imaging AI development in 16 medical subject areas, which helps to identify the demands and opportunities for the AI industry. Forty representative enterprises of AI medical imaging in China were introduced in the white paper. The white paper points out the three key problems in development of AI products: the robustness, ease of usage and data security, which provides guidance of direction and strategy for the enterprises. Particularly, in view of the national policy on developing AI, the white paper gives a profound analysis on the challenges and the opportunities that medical imaging AI is facing. These contents agglomerate the cutting-edge efforts of experts in the industry-academia-research-application chain of medical AI, represent the mainstream voice of the society in China. The White Paper will play a guiding role in understanding the market demands and establishing standardized systems in the path of landing AI products in the field medical imaging. Full text of the White paper is publicly accessible from the CAIERA website, or by scanning the 2D code in the article. |
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| Keywords: | white paper medical imaging artificial intelligence |
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