Advances and challenges of artificial intelligence in postoperative follow-up management of lung cancer
- VernacularTitle:人工智能在肺癌术后随访管理中的应用进展与挑战
- Author:
Ying ZHANG
1
;
Jian ZHOU
2
;
Yaoxi ZHANG
2
;
Qiang PU
2
;
Lunxu LIU
2
Author Information
1. Department of Science and Technology, West China Hospital, Sichuan University, Chengdu, 610041, P. R. China
2. Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, 610041, P. R. China
- Publication Type:Journal Article
- Keywords:
Artificial intelligence;
lung cancer;
follow-up management;
recurrence prediction;
patient-reported outcomes;
digital health
- From:
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery
2026;33(08):1299-1308
- CountryChina
- Language:Chinese
-
Abstract:
Artificial intelligence (AI) has made preliminary advances in the management of postoperative follow up for lung cancer; however, a systematic review of its application value across the entire follow-up continuum remains lacking. Taking the four core dimensions of postoperative follow-up management as its framework, including surveillance candidate selection, follow-up interval optimization, follow-up protocol design, and follow-up modality selection, this review examines the progress of AI in patient risk stratification, surveillance frequency optimization, content design, and supportive platform development. The review further delineates the current challenges and future directions for AI in this domain, and ultimately seeks to promote the standardized and scaled application of AI in postoperative follow-up management for lung cancer, with the goal of establishing a "care beyond hospitalization" life-cycle management framework that improves the long-term quality of survival for patients undergoing lung cancer surgery.
