Core Insights - The project aims to establish a high-quality, standardized multimodal database for gastrointestinal tumors, focusing on enhancing early detection rates and treatment precision in China [2][3][4] Group 1: Project Overview - The initiative is led by Professor Liao Jiazhi from Tongji Hospital, with a core team comprising experts from various medical and data science fields [3] - The project will integrate diverse data types, including endoscopic images, pathology slides, genetic sequencing, and clinical follow-ups, to create a comprehensive data asset for gastrointestinal tumors [4] Group 2: Technological Framework - The core technology of the project revolves around "multimodal" and "standardization," aiming to improve the efficiency of AI product and technology development in gastrointestinal oncology [4] - The collaboration plans to gather and manage tens of thousands of high-quality case data during the project period, developing AI algorithms for early screening, precise classification, efficacy prediction, and recurrence risk assessment [4] Group 3: Industry Impact - The partnership between Yidu Technology and Tongji Hospital represents a practical application of the "clinical demand-driven, AI-powered research, and industry-academia collaboration" model, which is expected to enhance the overall diagnostic and treatment levels for gastrointestinal tumors in China [5] - Yidu Technology has extensive experience in data governance and multimodal analysis, having processed nearly 7 billion authorized medical records across over 10,000 hospital partnerships by September 30, 2025 [5]
成功“揭榜”国家级任务！医渡科技携手同济医院攻关胃肠肿瘤AI诊疗