Comparative Performance of 3 Artificial Intelligence Systems for Lung Nodule Characterization in Low-Dose Computed Tomography Screening.
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| Title: | Comparative Performance of 3 Artificial Intelligence Systems for Lung Nodule Characterization in Low-Dose Computed Tomography Screening. |
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| Authors: | Khurelsukh K; Department of Medical Imaging and Radiological Sciences, College of Medicine, Chang Gung University.; Department of Radiology, Intermed Hospital, Ulaanbaatar, Mongolia., Lin YP; Department of Medical Imaging and Intervention, Linkou Chang Gung Memorial Hospital, Taoyuan City, Taiwan., Chang HM; Department of Medical Imaging and Intervention, Linkou Chang Gung Memorial Hospital, Taoyuan City, Taiwan., Hsu WC; Department of Medical Imaging and Intervention, Linkou Chang Gung Memorial Hospital, Taoyuan City, Taiwan., Huang PC; Department of Medical Imaging and Intervention, Linkou Chang Gung Memorial Hospital, Taoyuan City, Taiwan., Wu CT; Department of Medical Imaging and Radiological Sciences, College of Medicine, Chang Gung University.; Department of Medical Imaging and Intervention, Linkou Chang Gung Memorial Hospital, Taoyuan City, Taiwan., Wan YL; Department of Medical Imaging and Radiological Sciences, College of Medicine, Chang Gung University.; Department of Medical Imaging and Intervention, Linkou Chang Gung Memorial Hospital, Taoyuan City, Taiwan. |
| Source: | Journal of thoracic imaging [J Thorac Imaging] 2026 Jul 01; Vol. 41 (4). Date of Electronic Publication: 2026 Jul 01. |
| Publication Type: | Journal Article; Comparative Study |
| Journal Info: | Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 8606160 Publication Model: Electronic Cited Medium: Internet ISSN: 1536-0237 (Electronic) Linking ISSN: 08835993 NLM ISO Abbreviation: J Thorac Imaging Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41815002 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Comparative Performance of 3 Artificial Intelligence Systems for Lung Nodule Characterization in Low-Dose Computed Tomography Screening. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Khurelsukh+K%22">Khurelsukh K</searchLink>; Department of Medical Imaging and Radiological Sciences, College of Medicine, Chang Gung University.; Department of Radiology, Intermed Hospital, Ulaanbaatar, Mongolia.<br /><searchLink fieldCode="AU" term="%22Lin+YP%22">Lin YP</searchLink>; Department of Medical Imaging and Intervention, Linkou Chang Gung Memorial Hospital, Taoyuan City, Taiwan.<br /><searchLink fieldCode="AU" term="%22Chang+HM%22">Chang HM</searchLink>; Department of Medical Imaging and Intervention, Linkou Chang Gung Memorial Hospital, Taoyuan City, Taiwan.<br /><searchLink fieldCode="AU" term="%22Hsu+WC%22">Hsu WC</searchLink>; Department of Medical Imaging and Intervention, Linkou Chang Gung Memorial Hospital, Taoyuan City, Taiwan.<br /><searchLink fieldCode="AU" term="%22Huang+PC%22">Huang PC</searchLink>; Department of Medical Imaging and Intervention, Linkou Chang Gung Memorial Hospital, Taoyuan City, Taiwan.<br /><searchLink fieldCode="AU" term="%22Wu+CT%22">Wu CT</searchLink>; Department of Medical Imaging and Radiological Sciences, College of Medicine, Chang Gung University.; Department of Medical Imaging and Intervention, Linkou Chang Gung Memorial Hospital, Taoyuan City, Taiwan.<br /><searchLink fieldCode="AU" term="%22Wan+YL%22">Wan YL</searchLink>; Department of Medical Imaging and Radiological Sciences, College of Medicine, Chang Gung University.; Department of Medical Imaging and Intervention, Linkou Chang Gung Memorial Hospital, Taoyuan City, Taiwan. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%228606160%22">Journal of thoracic imaging</searchLink> [J Thorac Imaging] 2026 Jul 01; Vol. 41 (4). <i>Date of Electronic Publication: </i>2026 Jul 01. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Comparative Study – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Lippincott+Williams+%26+Wilkins%22">Lippincott Williams & Wilkins </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>8606160 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1536-0237 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2208835993%22">08835993 </searchLink><i>NLM ISO Abbreviation: </i>J Thorac Imaging <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41815002 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1097/RTI.0000000000000877 Languages: – Code: eng Text: English Titles: – TitleFull: Comparative Performance of 3 Artificial Intelligence Systems for Lung Nodule Characterization in Low-Dose Computed Tomography Screening. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Khurelsukh K – PersonEntity: Name: NameFull: Lin YP – PersonEntity: Name: NameFull: Chang HM – PersonEntity: Name: NameFull: Hsu WC – PersonEntity: Name: NameFull: Huang PC – PersonEntity: Name: NameFull: Wu CT – PersonEntity: Name: NameFull: Wan YL IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: 2026 Jul 01 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1536-0237 Numbering: – Type: volume Value: 41 – Type: issue Value: 4 Titles: – TitleFull: Journal of thoracic imaging Type: main |
| ResultId | 1 |
