Author Correction: Multimodal deep learning model for prognostic prediction in cervical cancer receiving definitive radiotherapy: a multi-center study.
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| Title: | Author Correction: Multimodal deep learning model for prognostic prediction in cervical cancer receiving definitive radiotherapy: a multi-center study. |
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| Authors: | Wang W; Department of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China., Yang G; Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China., Liu Y; Department of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China., Wei L; Department of Radiation Oncology, Xijing Hospital, Air Force Military Medical University, Xi'an, China., Xu X; Department of Radiation Oncology, Second Affiliated Hospital of Dalian Medical University, Dalian, China., Zhang C; Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China., Pan Z; Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China., Liang Y; Department of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China., Yang B; Department of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China., Qiu J; Department of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China., Zhang F; Department of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China., Hou X; Department of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China. hxr_pumch@163.com., Hu K; Department of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China. huke8000@126.com., Liang X; Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China. xk.liang@siat.ac.cn. |
| Source: | NPJ digital medicine [NPJ Digit Med] 2025 Dec 22; Vol. 8 (1), pp. 774. Date of Electronic Publication: 2025 Dec 22. |
| Publication Type: | Published Erratum |
| 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 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41429919 AccessLevel: 2 PubTypeId: unknown PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Author Correction: Multimodal deep learning model for prognostic prediction in cervical cancer receiving definitive radiotherapy: a multi-center study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Wang+W%22">Wang W</searchLink>; Department of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Yang+G%22">Yang G</searchLink>; Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China.<br /><searchLink fieldCode="AU" term="%22Liu+Y%22">Liu Y</searchLink>; Department of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Wei+L%22">Wei L</searchLink>; Department of Radiation Oncology, Xijing Hospital, Air Force Military Medical University, Xi'an, China.<br /><searchLink fieldCode="AU" term="%22Xu+X%22">Xu X</searchLink>; Department of Radiation Oncology, Second Affiliated Hospital of Dalian Medical University, Dalian, China.<br /><searchLink fieldCode="AU" term="%22Zhang+C%22">Zhang C</searchLink>; Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China.<br /><searchLink fieldCode="AU" term="%22Pan+Z%22">Pan Z</searchLink>; Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China.<br /><searchLink fieldCode="AU" term="%22Liang+Y%22">Liang Y</searchLink>; Department of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Yang+B%22">Yang B</searchLink>; Department of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Qiu+J%22">Qiu J</searchLink>; Department of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Zhang+F%22">Zhang F</searchLink>; Department of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Hou+X%22">Hou X</searchLink>; Department of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China. hxr&#95;pumch@163.com.<br /><searchLink fieldCode="AU" term="%22Hu+K%22">Hu K</searchLink>; Department of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China. huke8000@126.com.<br /><searchLink fieldCode="AU" term="%22Liang+X%22">Liang X</searchLink>; Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China. xk.liang@siat.ac.cn. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101731738%22">NPJ digital medicine</searchLink> [NPJ Digit Med] 2025 Dec 22; Vol. 8 (1), pp. 774. <i>Date of Electronic Publication: </i>2025 Dec 22. – Name: TypePub Label: Publication Type Group: TypPub Data: Published Erratum – 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=41429919 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41746-025-02204-x Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 774 Titles: – TitleFull: Author Correction: Multimodal deep learning model for prognostic prediction in cervical cancer receiving definitive radiotherapy: a multi-center study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wang W – PersonEntity: Name: NameFull: Yang G – PersonEntity: Name: NameFull: Liu Y – PersonEntity: Name: NameFull: Wei L – PersonEntity: Name: NameFull: Xu X – PersonEntity: Name: NameFull: Zhang C – PersonEntity: Name: NameFull: Pan Z – PersonEntity: Name: NameFull: Liang Y – PersonEntity: Name: NameFull: Yang B – PersonEntity: Name: NameFull: Qiu J – PersonEntity: Name: NameFull: Zhang F – PersonEntity: Name: NameFull: Hou X – PersonEntity: Name: NameFull: Hu K – PersonEntity: Name: NameFull: Liang X IsPartOfRelationships: – BibEntity: Dates: – D: 22 M: 12 Text: 2025 Dec 22 Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 2398-6352 Numbering: – Type: volume Value: 8 – Type: issue Value: 1 Titles: – TitleFull: NPJ digital medicine Type: main |
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