Using artificial intelligence for automated assessment of point-of-care ultrasound (POCUS) skills in emergency medicine.
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| Title: | Using artificial intelligence for automated assessment of point-of-care ultrasound (POCUS) skills in emergency medicine. |
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| Authors: | Duggan NM; Department of Emergency Medicine, Brigham and Women's Hospital, 10 Vining Street, NH-3, Boston, MA 02115, USA; Harvard Medical School, USA. Electronic address: nmduggan@bwh.harvard.edu., Dias RD; Department of Emergency Medicine, Brigham and Women's Hospital, 10 Vining Street, NH-3, Boston, MA 02115, USA; Harvard Medical School, USA., Harari R; Harvard Medical School, USA; Department of Radiology, Brigham and Women's Hospital, 75 Francis Street, Boston, MA 02115, USA., Borges P; Department of Emergency Medicine, Brigham and Women's Hospital, 10 Vining Street, NH-3, Boston, MA 02115, USA; Harvard Medical School, USA., Verly RJ; Department of Emergency Medicine, Brigham and Women's Hospital, 10 Vining Street, NH-3, Boston, MA 02115, USA; Harvard Medical School, USA., Schwid M; Department of Emergency Medicine, University of Rochester Medical Center, Saunders Research Building, 265 Crittenden Boulevard, Suite 2.100, Box 655C, Rochester, NY 14642, USA., Fischetti CE; Harvard Medical School, USA; Department of Emergency Medicine, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA., Allan-Blitz LT; Harvard Medical School, USA; Department of Medicine, Brigham and Women's Hospital, 75 Francis Street, Boston, MA 02115, USA., Heron D; University of Massachusetts Chan Medical School, 55 N Lake Ave, Worcester, MA 01655, USA., Huang CK; Harvard Medical School, USA; Department of Emergency Medicine, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA., Goldsmith AJ; University of Massachusetts Chan Medical School, 55 N Lake Ave, Worcester, MA 01655, USA; Department of Emergency Medicine, Lahey Hospital and Medical Center, 41 Burlington Mall Road, Burlington, MA 01805, USA. |
| Source: | The American journal of emergency medicine [Am J Emerg Med] 2026 May; Vol. 103, pp. 57-64. Date of Electronic Publication: 2026 Jan 21. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: W B Saunders Country of Publication: United States NLM ID: 8309942 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-8171 (Electronic) Linking ISSN: 07356757 NLM ISO Abbreviation: Am J Emerg Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41653848 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Using artificial intelligence for automated assessment of point-of-care ultrasound (POCUS) skills in emergency medicine. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Duggan+NM%22">Duggan NM</searchLink>; Department of Emergency Medicine, Brigham and Women's Hospital, 10 Vining Street, NH-3, Boston, MA 02115, USA; Harvard Medical School, USA. Electronic address: nmduggan@bwh.harvard.edu.<br /><searchLink fieldCode="AU" term="%22Dias+RD%22">Dias RD</searchLink>; Department of Emergency Medicine, Brigham and Women's Hospital, 10 Vining Street, NH-3, Boston, MA 02115, USA; Harvard Medical School, USA.<br /><searchLink fieldCode="AU" term="%22Harari+R%22">Harari R</searchLink>; Harvard Medical School, USA; Department of Radiology, Brigham and Women's Hospital, 75 Francis Street, Boston, MA 02115, USA.<br /><searchLink fieldCode="AU" term="%22Borges+P%22">Borges P</searchLink>; Department of Emergency Medicine, Brigham and Women's Hospital, 10 Vining Street, NH-3, Boston, MA 02115, USA; Harvard Medical School, USA.<br /><searchLink fieldCode="AU" term="%22Verly+RJ%22">Verly RJ</searchLink>; Department of Emergency Medicine, Brigham and Women's Hospital, 10 Vining Street, NH-3, Boston, MA 02115, USA; Harvard Medical School, USA.<br /><searchLink fieldCode="AU" term="%22Schwid+M%22">Schwid M</searchLink>; Department of Emergency Medicine, University of Rochester Medical Center, Saunders Research Building, 265 Crittenden Boulevard, Suite 2.100, Box 655C, Rochester, NY 14642, USA.<br /><searchLink fieldCode="AU" term="%22Fischetti+CE%22">Fischetti CE</searchLink>; Harvard Medical School, USA; Department of Emergency Medicine, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA.<br /><searchLink fieldCode="AU" term="%22Allan-Blitz+LT%22">Allan-Blitz LT</searchLink>; Harvard Medical School, USA; Department of Medicine, Brigham and Women's Hospital, 75 Francis Street, Boston, MA 02115, USA.<br /><searchLink fieldCode="AU" term="%22Heron+D%22">Heron D</searchLink>; University of Massachusetts Chan Medical School, 55 N Lake Ave, Worcester, MA 01655, USA.<br /><searchLink fieldCode="AU" term="%22Huang+CK%22">Huang CK</searchLink>; Harvard Medical School, USA; Department of Emergency Medicine, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA.<br /><searchLink fieldCode="AU" term="%22Goldsmith+AJ%22">Goldsmith AJ</searchLink>; University of Massachusetts Chan Medical School, 55 N Lake Ave, Worcester, MA 01655, USA; Department of Emergency Medicine, Lahey Hospital and Medical Center, 41 Burlington Mall Road, Burlington, MA 01805, USA. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%228309942%22">The American journal of emergency medicine</searchLink> [Am J Emerg Med] 2026 May; Vol. 103, pp. 57-64. <i>Date of Electronic Publication: </i>2026 Jan 21. – 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="%22W+B+Saunders%22">W B Saunders </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>8309942 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1532-8171 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2207356757%22">07356757 </searchLink><i>NLM ISO Abbreviation: </i>Am J Emerg Med <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41653848 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.ajem.2026.01.039 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 57 Titles: – TitleFull: Using artificial intelligence for automated assessment of point-of-care ultrasound (POCUS) skills in emergency medicine. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Duggan NM – PersonEntity: Name: NameFull: Dias RD – PersonEntity: Name: NameFull: Harari R – PersonEntity: Name: NameFull: Borges P – PersonEntity: Name: NameFull: Verly RJ – PersonEntity: Name: NameFull: Schwid M – PersonEntity: Name: NameFull: Fischetti CE – PersonEntity: Name: NameFull: Allan-Blitz LT – PersonEntity: Name: NameFull: Heron D – PersonEntity: Name: NameFull: Huang CK – PersonEntity: Name: NameFull: Goldsmith AJ IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: 2026 May Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1532-8171 Numbering: – Type: volume Value: 103 Titles: – TitleFull: The American journal of emergency medicine Type: main |
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