AI Model Integrating Imaging and Clinical Data for Predicting CSF Diversion in Neonatal Hydrocephalus: A Preliminary Study.
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| Title: | AI Model Integrating Imaging and Clinical Data for Predicting CSF Diversion in Neonatal Hydrocephalus: A Preliminary Study. |
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| Authors: | Dai Y; Department of Neurology, Second Xiangya Hospital of Central South University, Changsha, Hunan, China.; Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, Maryland, USA., Zhong Z; Department of Diagnostic Imaging, Brown University Health, Providence, Rhode Island, USA., Qin Y; Department of Radiology, Xiangya Hospital of Central South University, Changsha, Hunan, China.; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China., Wang Y; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, USA., Yu G; Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, Maryland, USA., Kobets A; Department of Neurosurgery, Montefiore Medical Center and the Albert Einstein College of Medicine, New York, USA., Swenson DW; Department of Diagnostic Imaging, Brown University Health, Providence, Rhode Island, USA., Boxerman JL; Department of Diagnostic Imaging, Brown University Health, Providence, Rhode Island, USA., Li G; Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA., Robinson S; Department of Neurosurgery, Johns Hopkins University, Baltimore, Maryland, USA., Bai H; Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, Maryland, USA., Yang L; Department of Neurology, Second Xiangya Hospital of Central South University, Changsha, Hunan, China., Liao W; Department of Radiology, Xiangya Hospital of Central South University, Changsha, Hunan, China.; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China.; National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Xiangya Hospital of Central South University, Changsha, China., Jiao Z; Department of Diagnostic Imaging, Brown University Health, Providence, Rhode Island, USA. |
| Source: | Human brain mapping [Hum Brain Mapp] 2025 Oct 01; Vol. 46 (14), pp. e70363. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Wiley Country of Publication: United States NLM ID: 9419065 Publication Model: Print Cited Medium: Internet ISSN: 1097-0193 (Electronic) Linking ISSN: 10659471 NLM ISO Abbreviation: Hum Brain Mapp Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40985603 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: AI Model Integrating Imaging and Clinical Data for Predicting CSF Diversion in Neonatal Hydrocephalus: A Preliminary Study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Dai+Y%22">Dai Y</searchLink>; Department of Neurology, Second Xiangya Hospital of Central South University, Changsha, Hunan, China.; Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, Maryland, USA.<br /><searchLink fieldCode="AU" term="%22Zhong+Z%22">Zhong Z</searchLink>; Department of Diagnostic Imaging, Brown University Health, Providence, Rhode Island, USA.<br /><searchLink fieldCode="AU" term="%22Qin+Y%22">Qin Y</searchLink>; Department of Radiology, Xiangya Hospital of Central South University, Changsha, Hunan, China.; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China.<br /><searchLink fieldCode="AU" term="%22Wang+Y%22">Wang Y</searchLink>; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, USA.<br /><searchLink fieldCode="AU" term="%22Yu+G%22">Yu G</searchLink>; Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, Maryland, USA.<br /><searchLink fieldCode="AU" term="%22Kobets+A%22">Kobets A</searchLink>; Department of Neurosurgery, Montefiore Medical Center and the Albert Einstein College of Medicine, New York, USA.<br /><searchLink fieldCode="AU" term="%22Swenson+DW%22">Swenson DW</searchLink>; Department of Diagnostic Imaging, Brown University Health, Providence, Rhode Island, USA.<br /><searchLink fieldCode="AU" term="%22Boxerman+JL%22">Boxerman JL</searchLink>; Department of Diagnostic Imaging, Brown University Health, Providence, Rhode Island, USA.<br /><searchLink fieldCode="AU" term="%22Li+G%22">Li G</searchLink>; Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.<br /><searchLink fieldCode="AU" term="%22Robinson+S%22">Robinson S</searchLink>; Department of Neurosurgery, Johns Hopkins University, Baltimore, Maryland, USA.<br /><searchLink fieldCode="AU" term="%22Bai+H%22">Bai H</searchLink>; Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, Maryland, USA.<br /><searchLink fieldCode="AU" term="%22Yang+L%22">Yang L</searchLink>; Department of Neurology, Second Xiangya Hospital of Central South University, Changsha, Hunan, China.<br /><searchLink fieldCode="AU" term="%22Liao+W%22">Liao W</searchLink>; Department of Radiology, Xiangya Hospital of Central South University, Changsha, Hunan, China.; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China.; National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Xiangya Hospital of Central South University, Changsha, China.<br /><searchLink fieldCode="AU" term="%22Jiao+Z%22">Jiao Z</searchLink>; Department of Diagnostic Imaging, Brown University Health, Providence, Rhode Island, USA. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229419065%22">Human brain mapping</searchLink> [Hum Brain Mapp] 2025 Oct 01; Vol. 46 (14), pp. e70363. – 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="%22Wiley%22">Wiley </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>9419065 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1097-0193 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210659471%22">10659471 </searchLink><i>NLM ISO Abbreviation: </i>Hum Brain Mapp <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40985603 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/hbm.70363 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e70363 Titles: – TitleFull: AI Model Integrating Imaging and Clinical Data for Predicting CSF Diversion in Neonatal Hydrocephalus: A Preliminary Study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Dai Y – PersonEntity: Name: NameFull: Zhong Z – PersonEntity: Name: NameFull: Qin Y – PersonEntity: Name: NameFull: Wang Y – PersonEntity: Name: NameFull: Yu G – PersonEntity: Name: NameFull: Kobets A – PersonEntity: Name: NameFull: Swenson DW – PersonEntity: Name: NameFull: Boxerman JL – PersonEntity: Name: NameFull: Li G – PersonEntity: Name: NameFull: Robinson S – PersonEntity: Name: NameFull: Bai H – PersonEntity: Name: NameFull: Yang L – PersonEntity: Name: NameFull: Liao W – PersonEntity: Name: NameFull: Jiao Z IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: 2025 Oct 01 Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 1097-0193 Numbering: – Type: volume Value: 46 – Type: issue Value: 14 Titles: – TitleFull: Human brain mapping Type: main |
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