Core Insights - The first Greater Bay Area Medical Artificial Intelligence Ecosystem Conference was held in Guangzhou, marking a significant step in the rapid development of AI applications in medical diagnostics in China [1][2] - The conference attracted over 400 experts and featured discussions on the necessity of collaboration among institutions to advance medical AI [2][4] Group 1: Medical AI Development - The development of medical AI is deemed an inevitable choice, with a strong emphasis on the need for collaboration among various institutions, particularly in integrating industry, academia, and research [2][4] - AI is expected to enhance the clinical capabilities of grassroots doctors by leveraging decades of clinical experience, although it cannot replace the human aspects of medical care [2][4] Group 2: Data Space and Collaboration - The "Trusted Medical Data Space" was officially launched by KingMed Medical, which is the only medical institution selected as a pilot for the national trusted data space initiative [3][4] - KingMed Medical has signed cooperation agreements with 18 institutions to foster collaboration in specialized disease model development, AI applications, and data flow [4][5] Group 3: KingMed Medical's Innovations - KingMed Medical has developed a comprehensive product blueprint that includes intelligent product services, specialized disease model services, user health services, and the trusted medical data space [4] - Since implementing the "Medical Testing 4.0" strategy in 2020, KingMed has created the industry's first large model "Yujian Yiyan" and the intelligent agent "Xiaoyue Yi," interpreting nearly 8 million reports [4]