Effect of Deep Learning-Based Artificial Intelligence on Radiologists' Performance in Identifying Nigrosome 1 Abnormalities on Susceptibility Map-Weighted Imaging.
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| Title: | Effect of Deep Learning-Based Artificial Intelligence on Radiologists' Performance in Identifying Nigrosome 1 Abnormalities on Susceptibility Map-Weighted Imaging. |
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| Authors: | Park J; Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea., Lim CY; Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea., Won SY; Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea., Na HK; Department of Neurology, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea., Lee PH; Department of Neurology, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea., Baek SY; Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.; Research Institute for Future Medicine, Samsung Medical Center, Seoul, Republic of Korea., Roh YH; Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea., Seong M; Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea., Sim Y; Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea., Kim EY; Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea., Kim ST; Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea., Sohn B; Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea. beomseoksohn@gmail.com. |
| Source: | Korean journal of radiology [Korean J Radiol] 2025 Aug; Vol. 26 (8), pp. 771-781. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Korean Society of Radiology Country of Publication: Korea (South) NLM ID: 100956096 Publication Model: Print Cited Medium: Internet ISSN: 2005-8330 (Electronic) Linking ISSN: 12296929 NLM ISO Abbreviation: Korean J Radiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40736409 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Effect of Deep Learning-Based Artificial Intelligence on Radiologists' Performance in Identifying Nigrosome 1 Abnormalities on Susceptibility Map-Weighted Imaging. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Park+J%22">Park J</searchLink>; Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lim+CY%22">Lim CY</searchLink>; Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Won+SY%22">Won SY</searchLink>; Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Na+HK%22">Na HK</searchLink>; Department of Neurology, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lee+PH%22">Lee PH</searchLink>; Department of Neurology, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Baek+SY%22">Baek SY</searchLink>; Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.; Research Institute for Future Medicine, Samsung Medical Center, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Roh+YH%22">Roh YH</searchLink>; Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Seong+M%22">Seong M</searchLink>; Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Sim+Y%22">Sim Y</searchLink>; Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+EY%22">Kim EY</searchLink>; Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+ST%22">Kim ST</searchLink>; Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Sohn+B%22">Sohn B</searchLink>; Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea. beomseoksohn@gmail.com. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22100956096%22">Korean journal of radiology</searchLink> [Korean J Radiol] 2025 Aug; Vol. 26 (8), pp. 771-781. – 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="%22Korean+Society+of+Radiology%22">Korean Society of Radiology </searchLink><i>Country of Publication: </i>Korea (South) <i>NLM ID: </i>100956096 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>2005-8330 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2212296929%22">12296929 </searchLink><i>NLM ISO Abbreviation: </i>Korean J Radiol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40736409 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3348/kjr.2025.0208 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 771 Titles: – TitleFull: Effect of Deep Learning-Based Artificial Intelligence on Radiologists' Performance in Identifying Nigrosome 1 Abnormalities on Susceptibility Map-Weighted Imaging. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Park J – PersonEntity: Name: NameFull: Lim CY – PersonEntity: Name: NameFull: Won SY – PersonEntity: Name: NameFull: Na HK – PersonEntity: Name: NameFull: Lee PH – PersonEntity: Name: NameFull: Baek SY – PersonEntity: Name: NameFull: Roh YH – PersonEntity: Name: NameFull: Seong M – PersonEntity: Name: NameFull: Sim Y – PersonEntity: Name: NameFull: Kim EY – PersonEntity: Name: NameFull: Kim ST – PersonEntity: Name: NameFull: Sohn B IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: 2025 Aug Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 2005-8330 Numbering: – Type: volume Value: 26 – Type: issue Value: 8 Titles: – TitleFull: Korean journal of radiology Type: main |
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