Can AI applied on MRI reliably predict shunt response in INPH? A comprehensive exploration of deep learning and radiomics approaches using preoperative MRI.
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| Title: | Can AI applied on MRI reliably predict shunt response in INPH? A comprehensive exploration of deep learning and radiomics approaches using preoperative MRI. |
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| Authors: | Mogensen, Klara1 (AUTHOR) klara.mogensen@umu.se, Guarrasi, Valerio2 (AUTHOR), Behndig, Sofia1,3 (AUTHOR), Eriksson De Ryst, Johan4 (AUTHOR), Soda, Paolo1,2 (AUTHOR), Eklund, Anders1,5 (AUTHOR), Malm, Jan4 (AUTHOR), Qvarlander, Sara1 (AUTHOR) |
| Source: | PLoS ONE. 6/8/2026, Vol. 21 Issue 6, p1-14. 14p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 194395096 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194395096 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pone.0350335 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 1 Titles: – TitleFull: Can AI applied on MRI reliably predict shunt response in INPH? A comprehensive exploration of deep learning and radiomics approaches using preoperative MRI. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mogensen, Klara – PersonEntity: Name: NameFull: Guarrasi, Valerio – PersonEntity: Name: NameFull: Behndig, Sofia – PersonEntity: Name: NameFull: Eriksson De Ryst, Johan – PersonEntity: Name: NameFull: Soda, Paolo – PersonEntity: Name: NameFull: Eklund, Anders – PersonEntity: Name: NameFull: Malm, Jan – PersonEntity: Name: NameFull: Qvarlander, Sara IsPartOfRelationships: – BibEntity: Dates: – D: 08 M: 06 Text: 6/8/2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 19326203 Numbering: – Type: volume Value: 21 – Type: issue Value: 6 Titles: – TitleFull: PLoS ONE Type: main |
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