
AI-generated summary
This competition is jointly sponsored by China's National Medical Security Administration and the People's Government of Guangxi Zhuang Autonomous Region. It is the first national-level professional AI medical image recognition competition in China.
China News Service, Nanning, October 20 (Reporter Huang Yanmei) The reporter learned from the organizing committee of the National Medical Insurance Imaging AI Image Recognition Competition on the 20th that the National Medical Insurance Imaging AI Image Recognition Competition, jointly sponsored by China's National Medical Security Administration and the People's Government of the Guangxi Zhuang Autonomous Region, will usher in offline competitions in Nanning, Guangxi from October 22 to 23, and the final competition will begin.
This competition is China's first national-level "AI + Medical Image Recognition" professional competition. With the theme of "Knowing Pictures with Intelligent Eyes and Leading the Future", this competition anchors the core goal of "promoting innovation through competition, promoting integration through competition, and promoting application through competition". The competition will focus on eight high-risk disease tracks such as kidney cancer, lung cancer, and breast cancer. Each track covers the most core and most clinically valuable application scenarios of current medical imaging AI.
Since the launch of the competition, a total of 1,332 teams and 4,447 people from 30 provinces (autonomous regions and municipalities) in China, Hong Kong, Macao and ASEAN countries have signed up to participate. After preliminary competition, 66 outstanding teams were shortlisted for the finals and will gather in Nanning for the peak showdown.
The finals adopt a two-part competition system of "on-site scoring + defense review". The participating teams will conduct algorithmic scores on-site based on real desensitized clinical medical insurance imaging data, and the defense and review will be conducted by industry experts. The focus will be on testing the participating teams' ability to promote AI to carry out image authenticity recognition, identify duplicate images, spliced images and other abnormal situations, AI to improve lesion identification capabilities, AI to improve auxiliary diagnosis capabilities, AI to improve image interpretation efficiency and other capabilities to ensure that the technical solutions that stand out are truly valuable for implementation.
It is worth noting that Guangxi has simultaneously issued a three-year action plan for the transformation of results. High-quality award-winning results can receive up to 3 million yuan in science and technology plan project support. For auxiliary diagnostic projects with mature technology, clear clinical value and meeting management requirements, they will be included in medical service price management according to procedures. Medical insurance payment support paths will be explored to promote innovative results to serve the clinic, benefit patients, and empower medical insurance governance.
AI outlook — possibilities, not facts
The finals of the competition will be held on October 22nd and 23rd.
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