Xin Lang Cai Jing·2025-12-14 00:39Core Viewpoint - JD Health and the China Anti-Cancer Association launched the "Integrated Cancer Prevention and Treatment Project (2025-2030)" to create a comprehensive system for cancer prevention, screening, diagnosis, treatment, and rehabilitation, integrating AI and other advanced technologies into clinical practice [1][3]. Group 1: Project Initiatives - The project aims to address issues such as the difficulty in discerning the authenticity of cancer-related information and the public's lack of emphasis on early cancer screening by launching a cancer prevention and treatment science popularization initiative [1][3]. - JD Health and the China Anti-Cancer Association will introduce a cancer doctor empowerment program to meet the needs for balanced access to medical resources and the development of specialized departments in grassroots hospitals [1][3]. - The collaboration will also focus on academic and industrial cooperation in cancer rehabilitation technology [1][3]. Group 2: AI Integration and Development - JD Health is leveraging the JD Medical Qianxun model to accelerate the "medical testing, diagnosis, and treatment" closed loop, aiming to create an intelligent cancer prevention and treatment system that is resource-accessible, decision-reliable, research-translatable, and patient-manageable [1][3]. - The JD Internet Hospital's oncology specialty has been fully upgraded, combining a team of authoritative experts from top-tier hospitals with AI technology to establish an integrated service system for screening, diagnosis, treatment, and follow-up [1][3]. - The oncology specialty currently includes over 30,000 authoritative experts from top-tier hospitals [1][3]. Group 3: Collaborative Research - JD Health signed cooperation agreements with Guangzhou Medical University First Affiliated Hospital, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, and Peking University Cancer Hospital to focus on AI applications in areas such as gastrointestinal tumors, prostate cancer, and respiratory system diseases [2][4]. - The collaboration will explore innovative applications and advancements in AI for image recognition, dynamic monitoring of conditions, and assisted diagnosis and treatment [2][4].