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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41549216 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: ASO Author Reflections: Time-to-Event Machine Learning for Prognostication of Locally Advanced Colorectal Cancer: Insights into Current Progress and Future Directions. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Zhou+Y%22">Zhou Y</searchLink>; Department of Radiology, Jiangxi Cancer Hospital & Institute, Jiangxi Clinical Research Center for Cancer, The Second Affiliated Hospital of Nanchang Medical College, Nanchang, China.<br /><searchLink fieldCode="AU" term="%22Zuo+Z%22">Zuo Z</searchLink>; Department of Radiology, Xiangtan Central Hospital, Xiangtan, China.<br /><searchLink fieldCode="AU" term="%22Zhao+J%22">Zhao J</searchLink>; Department of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.<br /><searchLink fieldCode="AU" term="%22Liu+L%22">Liu L</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Zhong+L%22">Zhong L</searchLink>; 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. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229420840%22">Annals of surgical oncology</searchLink> [Ann Surg Oncol] 2026 Apr; Vol. 33 (4), pp. 2876-2877. <i>Date of Electronic Publication: </i>2026 Jan 18. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>9420840 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1534-4681 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210689265%22">10689265 </searchLink><i>NLM ISO Abbreviation: </i>Ann Surg Oncol <i>Subsets: </i>MEDLINE; In Process |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41549216 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1245/s10434-025-18949-4 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 2876 Titles: – TitleFull: ASO Author Reflections: Time-to-Event Machine Learning for Prognostication of Locally Advanced Colorectal Cancer: Insights into Current Progress and Future Directions. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhou Y – PersonEntity: Name: NameFull: Zuo Z – PersonEntity: Name: NameFull: Zhao J – PersonEntity: Name: NameFull: Liu L – PersonEntity: Name: NameFull: Zhong L IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: 2026 Apr Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1534-4681 Numbering: – Type: volume Value: 33 – Type: issue Value: 4 Titles: – TitleFull: Annals of surgical oncology Type: main |
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