京东健康发布AI临床营养解决方案

Group 1 - The core viewpoint of the articles highlights the launch of an AI-driven clinical nutrition management solution by JD Health in collaboration with Wenzhou Medical University First Affiliated Hospital and the National Health Commission's Clinical Nutrition and Intervention Key Laboratory, aimed at improving medical quality and patient outcomes under the "Healthy China 2030" strategy [2] - The solution encompasses seven key stages of patient care, including screening, assessment, diagnosis, treatment, control, management, and education, establishing an integrated management system of "system—formulation—quality control" [2] - The technical core of the solution is the "Clinical Nutrition Large Model," developed collaboratively, which utilizes JD Health's proprietary medical model "JD Medical Qianxun" and has been trained on over one million nutrition-related literature and tens of thousands of real clinical cases [2] Group 2 - JD Health's "JD Zhuoyi 2.0" model, an integral part of its full-scenario large model product, can be embedded into existing hospital systems, facilitating a closed-loop from in-hospital diagnosis to out-of-hospital continuous management [3] - The collaboration with Wenzhou Medical University First Affiliated Hospital has already served over 4.7 million patients through the "Clinical Nutrition + Special Medical Food" service network, indicating the model's scalability for nationwide promotion [3] - JD Health's CEO, Cao Dong, emphasized the company's commitment to opening its leading "super pharmaceutical supply chain" capabilities and medical AI products to a broader range of partners, aiming to build a safe, reliable, and efficient "new infrastructure for medical digitization" [3]