Shanqing Li, MD | Chinese Academy of Medical Sciences; Chao Guo, MD; Huizhen Jiang, MS; Libing Yang, MD
Competition Sponsor: Chinese Academy of Medical Sciences
Awardee Year: 2025
Lung cancer has the highest incidence and mortality among malignancies in China, and most patients are older adults. Postoperative management in this population is challenged by multiple comorbidities, poor adherence, and inappropriate medication use. Existing follow-up models rely mainly on manual work, with fragmented information that makes it difficult to achieve continuous, closed-loop management across inpatient and outpatient settings. This project aims to build an intelligent, large-language-model–driven management platform to provide collaborative care for older patients after lung cancer surgery. First, we will construct a multimodal database covering the full care pathway from preoperative evaluation to long-term follow-up. On this basis, we will develop a lung-cancer–specific large language model that deeply integrates clinical knowledge and advanced reasoning capabilities, and create two innovative engines for individualized postoperative risk sensing and multidisciplinary knowledge fusion. Finally, we will design a mobile application with clinician and patient interfaces tailored to older adults’ usage habits, and evaluate its safety, feasibility, and clinical benefits through prospective clinical studies. By breaking the barriers between in-hospital treatment and out-of-hospital rehabilitation and enhancing the efficiency and precision of postoperative management, this project seeks to provide a scalable, intelligent new pathway for “chronic disease–oriented” postoperative care of cancer patients in China.