On October 22, the General Artificial Intelligence Conference "AI+Pathology" Innovation Forum was held at the Yuzhou Hall of Chongqing Yuzhou Hotel, guided by the Chongqing Municipal Medical Security Bureau and the Chongqing High-tech Zone Management Committee of the Western Science City, sponsored by the Chongqing General Intelligence Society, and co-organized by the Smart Medical Insurance Laboratory, Jinfeng Laboratory, Chongqing General Artificial Intelligence Research Institute, and Chongqing High-tech Zone Government Services and Social Affairs Center. With the theme of Medical Insurance Empowerment and Digital Intelligence Pathology, the forum brought together more than 200 people from the National Medical Insurance Administration and the medical insurance departments of many provinces and cities across the country, relevant departments in Chongqing, academicians and experts, representatives of universities and colleges, industry chain enterprises and medical institutions to discuss the path and practice of "AI + pathology" empowering the digital transformation of medical insurance.

• event site

on the forum, The Big Data Center of the National Medical Insurance Administration introduced the ideas for the construction of the National Medical Insurance Pathology Cloud and compiled the "Basic Specifications for the Medical Insurance Pathology Cloud" based on the pathology cloud index coding. It has established a "5+X" normative system framework to unify national business processes and construction standards, and openly solicits opinions from clinical enterprises and other entities. . Chongqing took the lead in launching the construction of a medical insurance pathology cloud in the country. It has selected three medical institutions to carry out pilot projects and released the country's first provincial medical insurance pathology cloud (digital slice) centralized procurement bidding document (draft for comments). During the pilot process, the laboratory fully leveraged the advantages of high-end expert resources, high-quality pathology data sets, standardized systems, and real clinical scenarios to provide solid support for standardized preparation of pathological specimens, digital slice quality control, and AI-assisted diagnostic model training. It helped the medical insurance pathology cloud realize the digitization, standardization, and traceability of pathological diagnosis, and empowered medical insurance governance and grassroots precision medicine with digital intelligence pathology innovation.

Keynote report session, Bian Xiuwu, Director of the Institute of Clinical Pathology of the First Affiliated Hospital of Army Medical University, Director of Jinfeng Laboratory, and Academician of the Chinese Academy of Sciences Delivered a keynote report on "AI+Pathology". Dong Le, Executive Director of Chongqing General Artificial Intelligence Research Institute, delivered a keynote report on "Dingjing Platform Empowering Intelligent Life and Health".

In the results release session, the laboratory released three high-quality data sets for pathological diagnosis of major diseases, the Jinfeng Digital Pathology Intelligent Annotation System, and the Pathological Specimen Intelligent Management System and other digital pathology equipment.； The laboratory and the First Affiliated Hospital of Army Medical University released the first vertebral model for multimodal pathological diagnosis of brain glioma ； Westlake University and Huayinkang simultaneously released two domestic leading pathology large models, Qiongyu Pathology AI Large Model and DeepPath AI2.0 Pathology Large Model. From data sets to annotation tools, management equipment and vertical models, the laboratory presents a complete technical link covering "data-model-equipment".

• “AI+Pathology” application innovation activity Release site

The meeting also officially launched the "AI+Pathology" application innovation activities. The event was jointly initiated by the Chongqing Municipal Medical Security Bureau and the Western Science City Chongqing High-tech Zone Management Committee and other units, and was carried out relying on the Jinfeng Laboratory and the Smart Medical Insurance Laboratory. It focused on case collection, achievement transformation and cultivation, academic exchanges, and talent training to create a national digital pathology demonstration benchmark.

      In the next step, the laboratory will take this conference as an opportunity to give full play to the advantages of pathology data base and AI model support, empower grassroots pathology diagnosis, transform more innovative results into high-quality pathology diagnosis services accessible to the public, and contribute the "golden phoenix power" to the construction of a healthy China.