Biological sample resources have become national strategic resources, and pathological samples and data resources are important components. In order to accelerate the construction of standardized pathological samples and data resource database, on July 18, Jinfeng Laboratory held a training meeting on quality requirements and evaluation standards for artificial intelligence medical devices, inviting Deputy Director Meng Xiangfeng and Researcher Wang Hao from the Equipment Institute of the China Food and Drug Authentication Research Institute to give lectures, and held discussions on the construction of high-quality pathological data sets. 42 representatives from cooperative medical institutions in the city, laboratory pathological sample databases and scientific research teams attended the training meeting.

At the training meeting, Researcher Wang Hao deeply interpreted the general requirements and core specifications of data set construction based on the core standards of artificial intelligence medical devices - YY/T 1833.2-2022 "Artificial Intelligence Medical Device Quality Requirements and Evaluation Part 2: General Requirements for Data Sets" and YY/T 1833.3 -2022 "Artificial Intelligence Medical Device Quality Requirements and Evaluation Part 3: General Requirements for Data Labeling", and scientifically explained the key points such as marking personnel qualifications, marking process management, quality control and consensus mechanism. Deputy Director Meng Xiangfeng interpreted and responded to important issues in the construction of artificial intelligence data sets.

The training site had a strong learning atmosphere, and the participating representatives responded enthusiastically and interacted enthusiastically. They exchanged and discussed the core issues and difficulties encountered in actual work, such as data set construction, marking quality control, model verification and evaluation, and standard implementation application. The successful holding of this training session not only significantly improved the level and application capabilities of the participants in the key standards of artificial intelligence medical devices, effectively promoted the deep integration of regulatory requirements, scientific research and development and clinical applications, but also injected strong impetus into promoting the standardization and high-quality development of the artificial intelligence medical device industry in Chongqing and even the western region.

Jinfeng Laboratory anchors the core task of "Next Generation Diagnosis of Major Diseases", initiates the construction of Jinfeng Smart Pathology Center, and creates a collaborative innovation platform for pathological big data construction and application. It will continue to keep up with the development trends in cutting-edge fields such as artificial intelligence medical devices, actively gather resources from all parties, and contribute wisdom and strength to promote innovative breakthroughs and healthy development of smart pathology.