Interpretable multimodal deep learning improves postoperative risk stratification in intrahepatic cholangiocarcinoma in multicentre cohorts.
Saved in:
| Title: | Interpretable multimodal deep learning improves postoperative risk stratification in intrahepatic cholangiocarcinoma in multicentre cohorts. |
|---|---|
| Authors: | Wan M; Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, & Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, Hangzhou, China., Ding Y; Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, & Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, Hangzhou, China., Wang Y; Department of Pathology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China., Jia Y; Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, & Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, Hangzhou, China., Wu S; The First Clinical School of Medicine, Zhengzhou University, Zhengzhou, China., Qu W; Department of Laboratory Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China., Xu Y; Department of Laboratory Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China., Fu W; Department of Hepatobiliary Surgery, The Affiliated Hospital of Southwest Medical University, Luzhou, China., Timko MP; Departments of Biology and Public Health Sciences, University of Virginia, Charlottesville, VA, USA., Wan L; Department of Pharmacological Sciences, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, USA., Ying L; Department of Medicine, Monash University, Clayton, VIC, Australia., Ye C; Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, & Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, Hangzhou, China., Chen R; Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, & Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, Hangzhou, China., Li Q; Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, & Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, Hangzhou, China., He Y; Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, & Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, Hangzhou, China., Xu K; Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, & Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, Hangzhou, China., Xu N; Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, & Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, Hangzhou, China., Chen J; Department of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China. chenjinzhang@smu.edu.cn., Zheng D; Department of Oncology, Shunde Hospital, Southern Medical University, Shunde, China. zhengdayong@hotmail.com., Shen Y; Department of Laboratory Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China. yifeishen@zju.edu.cn.; Department of Bioinformatics and Computational Biology, MD Anderson Cancer Center, Houston, TX, USA. yifeishen@zju.edu.cn., Ruan J; Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, & Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, Hangzhou, China. software233@zju.edu.cn. |
| Source: | NPJ digital medicine [NPJ Digit Med] 2025 Dec 29; Vol. 9 (1), pp. 95. Date of Electronic Publication: 2025 Dec 29. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101731738 Publication Model: Electronic Cited Medium: Internet ISSN: 2398-6352 (Electronic) Linking ISSN: 23986352 NLM ISO Abbreviation: NPJ Digit Med Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41466129 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Interpretable multimodal deep learning improves postoperative risk stratification in intrahepatic cholangiocarcinoma in multicentre cohorts. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Wan+M%22">Wan M</searchLink>; Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, & Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Ding+Y%22">Ding Y</searchLink>; Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, & Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Wang+Y%22">Wang Y</searchLink>; Department of Pathology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Jia+Y%22">Jia Y</searchLink>; Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, & Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Wu+S%22">Wu S</searchLink>; The First Clinical School of Medicine, Zhengzhou University, Zhengzhou, China.<br /><searchLink fieldCode="AU" term="%22Qu+W%22">Qu W</searchLink>; Department of Laboratory Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Xu+Y%22">Xu Y</searchLink>; Department of Laboratory Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Fu+W%22">Fu W</searchLink>; Department of Hepatobiliary Surgery, The Affiliated Hospital of Southwest Medical University, Luzhou, China.<br /><searchLink fieldCode="AU" term="%22Timko+MP%22">Timko MP</searchLink>; Departments of Biology and Public Health Sciences, University of Virginia, Charlottesville, VA, USA.<br /><searchLink fieldCode="AU" term="%22Wan+L%22">Wan L</searchLink>; Department of Pharmacological Sciences, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, USA.<br /><searchLink fieldCode="AU" term="%22Ying+L%22">Ying L</searchLink>; Department of Medicine, Monash University, Clayton, VIC, Australia.<br /><searchLink fieldCode="AU" term="%22Ye+C%22">Ye C</searchLink>; Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, & Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Chen+R%22">Chen R</searchLink>; Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, & Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Li+Q%22">Li Q</searchLink>; Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, & Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22He+Y%22">He Y</searchLink>; Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, & Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Xu+K%22">Xu K</searchLink>; Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, & Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Xu+N%22">Xu N</searchLink>; Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, & Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Chen+J%22">Chen J</searchLink>; Department of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China. chenjinzhang@smu.edu.cn.<br /><searchLink fieldCode="AU" term="%22Zheng+D%22">Zheng D</searchLink>; Department of Oncology, Shunde Hospital, Southern Medical University, Shunde, China. zhengdayong@hotmail.com.<br /><searchLink fieldCode="AU" term="%22Shen+Y%22">Shen Y</searchLink>; Department of Laboratory Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China. yifeishen@zju.edu.cn.; Department of Bioinformatics and Computational Biology, MD Anderson Cancer Center, Houston, TX, USA. yifeishen@zju.edu.cn.<br /><searchLink fieldCode="AU" term="%22Ruan+J%22">Ruan J</searchLink>; Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, & Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, Hangzhou, China. software233@zju.edu.cn. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101731738%22">NPJ digital medicine</searchLink> [NPJ Digit Med] 2025 Dec 29; Vol. 9 (1), pp. 95. <i>Date of Electronic Publication: </i>2025 Dec 29. – 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="%22Nature+Publishing+Group%22">Nature Publishing Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101731738 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2398-6352 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2223986352%22">23986352 </searchLink><i>NLM ISO Abbreviation: </i>NPJ Digit Med <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41466129 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41746-025-02282-x Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 95 Titles: – TitleFull: Interpretable multimodal deep learning improves postoperative risk stratification in intrahepatic cholangiocarcinoma in multicentre cohorts. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wan M – PersonEntity: Name: NameFull: Ding Y – PersonEntity: Name: NameFull: Wang Y – PersonEntity: Name: NameFull: Jia Y – PersonEntity: Name: NameFull: Wu S – PersonEntity: Name: NameFull: Qu W – PersonEntity: Name: NameFull: Xu Y – PersonEntity: Name: NameFull: Fu W – PersonEntity: Name: NameFull: Timko MP – PersonEntity: Name: NameFull: Wan L – PersonEntity: Name: NameFull: Ying L – PersonEntity: Name: NameFull: Ye C – PersonEntity: Name: NameFull: Chen R – PersonEntity: Name: NameFull: Li Q – PersonEntity: Name: NameFull: He Y – PersonEntity: Name: NameFull: Xu K – PersonEntity: Name: NameFull: Xu N – PersonEntity: Name: NameFull: Chen J – PersonEntity: Name: NameFull: Zheng D – PersonEntity: Name: NameFull: Shen Y – PersonEntity: Name: NameFull: Ruan J IsPartOfRelationships: – BibEntity: Dates: – D: 29 M: 12 Text: 2025 Dec 29 Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 2398-6352 Numbering: – Type: volume Value: 9 – Type: issue Value: 1 Titles: – TitleFull: NPJ digital medicine Type: main |
| ResultId | 1 |