ASO Author Reflections: Leveraging Machine Learning for Early Recurrence Prediction in Gastric Cancer: Insights from a Multicenter Real-World Study
Ann Surg Oncol
.
2025 Jan 3.
doi: 10.1245/s10434-024-16772-x.
Online ahead of print.
Authors
Xing-Qi Zhang
1
2
3
,
Ze-Ning Huang
1
2
3
,
Yan-Bing Zhou
4
,
Jian-Xian Lin
1
2
3
,
Chang-Ming Huang
5
6
7
Affiliations
1
Department of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, China.
2
Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, China.
3
Key Laboratory of Ministry of Education of Gastrointestinal Cancer, Fujian Medical University, Fuzhou, Fujian Province, China.
4
Department of Gastrointestinal Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong Province, China.
5
Department of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, China. hcmlr2002@163.com.
6
Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, China. hcmlr2002@163.com.
7
Key Laboratory of Ministry of Education of Gastrointestinal Cancer, Fujian Medical University, Fuzhou, Fujian Province, China. hcmlr2002@163.com.
PMID:
39753794
DOI:
10.1245/s10434-024-16772-x
No abstract available