Group 1 - The eighth Red House Forum and the sixth Shanghai Public Hospital High-Quality Development Forum opened, showcasing the Xiaohong AI Patient Assistant as a digital innovation in obstetrics and gynecology [1][2] - Xiaohong AI Patient Assistant is based on the DeepSeek/ Tongyi Qianwen 72B model, featuring a specialized knowledge base with 3,075 authoritative documents and over 8,000 fine-tuning iterations, enabling precise connections between diseases, symptoms, and treatment methods [1] - The integrated smart diagnosis and treatment model of Xiaohong AI breaks traditional medical service limitations, achieving seamless connections throughout the entire process of pre-diagnosis, diagnosis, and post-diagnosis [1] Group 2 - The Xiaohong AI Patient Assistant supports the establishment of an AI ecosystem in obstetrics and gynecology, providing strong support for the quality development of medical services in the Yangtze River Delta region [1] - The promotion of Xiaohong AI allows medical institutions in the region to adopt advanced medical technologies and service models, enhancing their medical standards and reducing disparities in healthcare [1] - Unified diagnosis and treatment standards enable patients to receive consistent high-quality medical services across different cities in the Yangtze River Delta, promoting the rational flow and optimization of regional medical resources [1] Group 3 - Fudan University Affiliated Obstetrics and Gynecology Hospital has signed a strategic cooperation agreement with Mass General Brigham (MGB) to collaborate in clinical diagnosis, medical education, scientific research, hospital management, and more [3] - The hospital is a participant in a World Health Organization (WHO) project, exploring health intervention programs across various stages from pre-pregnancy to early childhood, aiming to provide early solutions for preventing childhood obesity and chronic diseases in adulthood [3] - The hospital emphasizes the importance of global collaboration and innovation resource aggregation to achieve breakthroughs in women's health and enhance human health welfare [3]
数字化创新成果亮相 助力长三角妇产科医疗服务同品质化发展
Zhong Guo Xin Wen Wang·2025-06-21 13:28