Quality assessment of expedited AI generated reformatted images for ED acquired CT abdomen and pelvis imaging.
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| Title: | Quality assessment of expedited AI generated reformatted images for ED acquired CT abdomen and pelvis imaging. |
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| Authors: | Freedman D; New York University Langone Medical Center, New York, USA. daniel.freedman@nyulangone.org., Bagga B; New York University Langone Medical Center, New York, USA., Melamud K; New York University Langone Medical Center, New York, USA., O'Donnell T; Siemens Healthineers (United States), Malvern, USA., Vega E; New York University Langone Medical Center, New York, USA., Westerhoff M; Visage Imaging (Germany), Berlin, Germany., Dane B; New York University Langone Medical Center, New York, USA. |
| Source: | Abdominal radiology (New York) [Abdom Radiol (NY)] 2025 Mar; Vol. 50 (3), pp. 1441-1447. Date of Electronic Publication: 2024 Sep 18. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Country of Publication: United States NLM ID: 101674571 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2366-0058 (Electronic) NLM ISO Abbreviation: Abdom Radiol (NY) 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: 39292278 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Quality assessment of expedited AI generated reformatted images for ED acquired CT abdomen and pelvis imaging. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Freedman+D%22">Freedman D</searchLink>; New York University Langone Medical Center, New York, USA. daniel.freedman@nyulangone.org.<br /><searchLink fieldCode="AU" term="%22Bagga+B%22">Bagga B</searchLink>; New York University Langone Medical Center, New York, USA.<br /><searchLink fieldCode="AU" term="%22Melamud+K%22">Melamud K</searchLink>; New York University Langone Medical Center, New York, USA.<br /><searchLink fieldCode="AU" term="%22O'Donnell+T%22">O'Donnell T</searchLink>; Siemens Healthineers (United States), Malvern, USA.<br /><searchLink fieldCode="AU" term="%22Vega+E%22">Vega E</searchLink>; New York University Langone Medical Center, New York, USA.<br /><searchLink fieldCode="AU" term="%22Westerhoff+M%22">Westerhoff M</searchLink>; Visage Imaging (Germany), Berlin, Germany.<br /><searchLink fieldCode="AU" term="%22Dane+B%22">Dane B</searchLink>; New York University Langone Medical Center, New York, USA. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101674571%22">Abdominal radiology (New York)</searchLink> [Abdom Radiol (NY)] 2025 Mar; Vol. 50 (3), pp. 1441-1447. <i>Date of Electronic Publication: </i>2024 Sep 18. – 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="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101674571 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2366-0058 (Electronic) <i>NLM ISO Abbreviation: </i>Abdom Radiol (NY) <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39292278 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00261-024-04578-0 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 1441 Titles: – TitleFull: Quality assessment of expedited AI generated reformatted images for ED acquired CT abdomen and pelvis imaging. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Freedman D – PersonEntity: Name: NameFull: Bagga B – PersonEntity: Name: NameFull: Melamud K – PersonEntity: Name: NameFull: O'Donnell T – PersonEntity: Name: NameFull: Vega E – PersonEntity: Name: NameFull: Westerhoff M – PersonEntity: Name: NameFull: Dane B IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: 2025 Mar Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 2366-0058 Numbering: – Type: volume Value: 50 – Type: issue Value: 3 Titles: – TitleFull: Abdominal radiology (New York) Type: main |
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