Beyond the black box: lessons in explainability from AI in mammography.
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| Title: | Beyond the black box: lessons in explainability from AI in mammography. |
|---|---|
| Authors: | Ciardiello, Andrea1,2, D’Angelo, Anna3, De Angelis, Luigi4,5, Giagu, Stefano2,6, Sala, Evis3,7, Gigante, Guido1,2, guido.gigante@iss.it |
| Source: | Artificial Intelligence Review; May2026, Vol. 59 Issue 5, p1-32, 32p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 192802782 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=aci&AN=192802782 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10462-026-11518-5 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 32 StartPage: 1 Titles: – TitleFull: Beyond the black box: lessons in explainability from AI in mammography. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ciardiello, Andrea – PersonEntity: Name: NameFull: D’Angelo, Anna – PersonEntity: Name: NameFull: De Angelis, Luigi – PersonEntity: Name: NameFull: Giagu, Stefano – PersonEntity: Name: NameFull: Sala, Evis – PersonEntity: Name: NameFull: Gigante, Guido IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 02692821 Numbering: – Type: volume Value: 59 – Type: issue Value: 5 Titles: – TitleFull: Artificial Intelligence Review Type: main |
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