Large-Scale Evaluation of Machine Learning Models in Identifying Follow-Up Recommendations in Radiology Reports.
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| Title: | Large-Scale Evaluation of Machine Learning Models in Identifying Follow-Up Recommendations in Radiology Reports. |
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| Authors: | Xiao P; Mallinckrodt Institute of Radiology, Washington University School of Medicine, 4525 Scott Ave, MSC 8225-0082-03, St Louis, MO 63110., Yu X; Mallinckrodt Institute of Radiology, Washington University School of Medicine, 4525 Scott Ave, MSC 8225-0082-03, St Louis, MO 63110., Ha SM; Mallinckrodt Institute of Radiology, Washington University School of Medicine, 4525 Scott Ave, MSC 8225-0082-03, St Louis, MO 63110., Bani A; Mallinckrodt Institute of Radiology, Washington University School of Medicine, 4525 Scott Ave, MSC 8225-0082-03, St Louis, MO 63110., Mintz A; Mallinckrodt Institute of Radiology, Washington University School of Medicine, 4525 Scott Ave, MSC 8225-0082-03, St Louis, MO 63110., Wang J; Mallinckrodt Institute of Radiology, Washington University School of Medicine, 4525 Scott Ave, MSC 8225-0082-03, St Louis, MO 63110., Elbanan M; Department of Radiology, University of Missouri, Columbia, Mo., Mokkarala M; Mallinckrodt Institute of Radiology, Washington University School of Medicine, 4525 Scott Ave, MSC 8225-0082-03, St Louis, MO 63110., Mattay G; Mallinckrodt Institute of Radiology, Washington University School of Medicine, 4525 Scott Ave, MSC 8225-0082-03, St Louis, MO 63110., Nazeri A; Mallinckrodt Institute of Radiology, Washington University School of Medicine, 4525 Scott Ave, MSC 8225-0082-03, St Louis, MO 63110., Kannampallil T; Department of Anesthesiology, Washington University School of Medicine, St Louis, Mo.; Institute for Informatics, Data Science & Biostatistics, Washington University School of Medicine, St Louis, Mo., Lai AM; Institute for Informatics, Data Science & Biostatistics, Washington University School of Medicine, St Louis, Mo.; Department of Medicine, Washington University School of Medicine, St Louis, Mo., Narra VR; Mallinckrodt Institute of Radiology, Washington University School of Medicine, 4525 Scott Ave, MSC 8225-0082-03, St Louis, MO 63110., Marcus DS; Institute for Informatics, Data Science & Biostatistics, Washington University School of Medicine, St Louis, Mo.; Department of Medicine, Washington University School of Medicine, St Louis, Mo., Bierhals AJ; Mallinckrodt Institute of Radiology, Washington University School of Medicine, 4525 Scott Ave, MSC 8225-0082-03, St Louis, MO 63110., Sotiras A; Mallinckrodt Institute of Radiology, Washington University School of Medicine, 4525 Scott Ave, MSC 8225-0082-03, St Louis, MO 63110.; Institute for Informatics, Data Science & Biostatistics, Washington University School of Medicine, St Louis, Mo. |
| Source: | Radiology [Radiology] 2025 Nov; Vol. 317 (2), pp. e242167. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural |
| Journal Info: | Publisher: Radiological Society of North America Country of Publication: United States NLM ID: 0401260 Publication Model: Print Cited Medium: Internet ISSN: 1527-1315 (Electronic) Linking ISSN: 00338419 NLM ISO Abbreviation: Radiology Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41217283 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Large-Scale Evaluation of Machine Learning Models in Identifying Follow-Up Recommendations in Radiology Reports. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Xiao+P%22">Xiao P</searchLink>; Mallinckrodt Institute of Radiology, Washington University School of Medicine, 4525 Scott Ave, MSC 8225-0082-03, St Louis, MO 63110.<br /><searchLink fieldCode="AU" term="%22Yu+X%22">Yu X</searchLink>; Mallinckrodt Institute of Radiology, Washington University School of Medicine, 4525 Scott Ave, MSC 8225-0082-03, St Louis, MO 63110.<br /><searchLink fieldCode="AU" term="%22Ha+SM%22">Ha SM</searchLink>; Mallinckrodt Institute of Radiology, Washington University School of Medicine, 4525 Scott Ave, MSC 8225-0082-03, St Louis, MO 63110.<br /><searchLink fieldCode="AU" term="%22Bani+A%22">Bani A</searchLink>; Mallinckrodt Institute of Radiology, Washington University School of Medicine, 4525 Scott Ave, MSC 8225-0082-03, St Louis, MO 63110.<br /><searchLink fieldCode="AU" term="%22Mintz+A%22">Mintz A</searchLink>; Mallinckrodt Institute of Radiology, Washington University School of Medicine, 4525 Scott Ave, MSC 8225-0082-03, St Louis, MO 63110.<br /><searchLink fieldCode="AU" term="%22Wang+J%22">Wang J</searchLink>; Mallinckrodt Institute of Radiology, Washington University School of Medicine, 4525 Scott Ave, MSC 8225-0082-03, St Louis, MO 63110.<br /><searchLink fieldCode="AU" term="%22Elbanan+M%22">Elbanan M</searchLink>; Department of Radiology, University of Missouri, Columbia, Mo.<br /><searchLink fieldCode="AU" term="%22Mokkarala+M%22">Mokkarala M</searchLink>; Mallinckrodt Institute of Radiology, Washington University School of Medicine, 4525 Scott Ave, MSC 8225-0082-03, St Louis, MO 63110.<br /><searchLink fieldCode="AU" term="%22Mattay+G%22">Mattay G</searchLink>; Mallinckrodt Institute of Radiology, Washington University School of Medicine, 4525 Scott Ave, MSC 8225-0082-03, St Louis, MO 63110.<br /><searchLink fieldCode="AU" term="%22Nazeri+A%22">Nazeri A</searchLink>; Mallinckrodt Institute of Radiology, Washington University School of Medicine, 4525 Scott Ave, MSC 8225-0082-03, St Louis, MO 63110.<br /><searchLink fieldCode="AU" term="%22Kannampallil+T%22">Kannampallil T</searchLink>; Department of Anesthesiology, Washington University School of Medicine, St Louis, Mo.; Institute for Informatics, Data Science & Biostatistics, Washington University School of Medicine, St Louis, Mo.<br /><searchLink fieldCode="AU" term="%22Lai+AM%22">Lai AM</searchLink>; Institute for Informatics, Data Science & Biostatistics, Washington University School of Medicine, St Louis, Mo.; Department of Medicine, Washington University School of Medicine, St Louis, Mo.<br /><searchLink fieldCode="AU" term="%22Narra+VR%22">Narra VR</searchLink>; Mallinckrodt Institute of Radiology, Washington University School of Medicine, 4525 Scott Ave, MSC 8225-0082-03, St Louis, MO 63110.<br /><searchLink fieldCode="AU" term="%22Marcus+DS%22">Marcus DS</searchLink>; Institute for Informatics, Data Science & Biostatistics, Washington University School of Medicine, St Louis, Mo.; Department of Medicine, Washington University School of Medicine, St Louis, Mo.<br /><searchLink fieldCode="AU" term="%22Bierhals+AJ%22">Bierhals AJ</searchLink>; Mallinckrodt Institute of Radiology, Washington University School of Medicine, 4525 Scott Ave, MSC 8225-0082-03, St Louis, MO 63110.<br /><searchLink fieldCode="AU" term="%22Sotiras+A%22">Sotiras A</searchLink>; Mallinckrodt Institute of Radiology, Washington University School of Medicine, 4525 Scott Ave, MSC 8225-0082-03, St Louis, MO 63110.; Institute for Informatics, Data Science & Biostatistics, Washington University School of Medicine, St Louis, Mo. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%220401260%22">Radiology</searchLink> [Radiology] 2025 Nov; Vol. 317 (2), pp. e242167. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, N.I.H., Extramural – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Radiological+Society+of+North+America%22">Radiological Society of North America </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>0401260 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1527-1315 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200338419%22">00338419 </searchLink><i>NLM ISO Abbreviation: </i>Radiology <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41217283 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1148/radiol.242167 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e242167 Titles: – TitleFull: Large-Scale Evaluation of Machine Learning Models in Identifying Follow-Up Recommendations in Radiology Reports. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Xiao P – PersonEntity: Name: NameFull: Yu X – PersonEntity: Name: NameFull: Ha SM – PersonEntity: Name: NameFull: Bani A – PersonEntity: Name: NameFull: Mintz A – PersonEntity: Name: NameFull: Wang J – PersonEntity: Name: NameFull: Elbanan M – PersonEntity: Name: NameFull: Mokkarala M – PersonEntity: Name: NameFull: Mattay G – PersonEntity: Name: NameFull: Nazeri A – PersonEntity: Name: NameFull: Kannampallil T – PersonEntity: Name: NameFull: Lai AM – PersonEntity: Name: NameFull: Narra VR – PersonEntity: Name: NameFull: Marcus DS – PersonEntity: Name: NameFull: Bierhals AJ – PersonEntity: Name: NameFull: Sotiras A IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: 2025 Nov Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 1527-1315 Numbering: – Type: volume Value: 317 – Type: issue Value: 2 Titles: – TitleFull: Radiology Type: main |
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