ASO Author Reflections: Time-to-Event Machine Learning for Prognostication of Locally Advanced Colorectal Cancer: Insights into Current Progress and Future Directions.
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| Title: | ASO Author Reflections: Time-to-Event Machine Learning for Prognostication of Locally Advanced Colorectal Cancer: Insights into Current Progress and Future Directions. |
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| Authors: | Zhou Y; Department of Radiology, Jiangxi Cancer Hospital & Institute, Jiangxi Clinical Research Center for Cancer, The Second Affiliated Hospital of Nanchang Medical College, Nanchang, China., Zuo Z; Department of Radiology, Xiangtan Central Hospital, Xiangtan, China., Zhao J; Department of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China., Liu L; Department of Radiology, Jiangxi Cancer Hospital & Institute, Jiangxi Clinical Research Center for Cancer, The Second Affiliated Hospital of Nanchang Medical College, Nanchang, China. liulan202306@163.com., Zhong L; Department of Radiology, Jiangxi Cancer Hospital & Institute, Jiangxi Clinical Research Center for Cancer, The Second Affiliated Hospital of Nanchang Medical College, Nanchang, China. 823155926@qq.com. |
| Source: | Annals of surgical oncology [Ann Surg Oncol] 2026 Apr; Vol. 33 (4), pp. 2876-2877. Date of Electronic Publication: 2026 Jan 18. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Country of Publication: United States NLM ID: 9420840 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1534-4681 (Electronic) Linking ISSN: 10689265 NLM ISO Abbreviation: Ann Surg Oncol Subsets: MEDLINE; In Process |
| Database: | MEDLINE Ultimate |
| ISSN: | 1534-4681 |
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| DOI: | 10.1245/s10434-025-18949-4 |
