Identifying Aortic Stenosis With a Single Parasternal Long-Axis Video Using Deep Learning.
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| Title: | Identifying Aortic Stenosis With a Single Parasternal Long-Axis Video Using Deep Learning. |
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| Authors: | Dai W; Department of Electrical Engineering and Computer Science, Research Laboratory of Electronics, and Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts., Nazzari H; Department of Cardiology, Surrey Memorial Hospital, Surrey, British Columbia, Canada; University of British Columbia, Vancouver, British Columbia, Canada., Namasivayam M; Department of Cardiology, St. Vincent's Hospital, Sydney, Australia; Faculty of Medicine and Health, University of New South Wales, Sydney, Australia; Heart Valve Disease and Artificial Intelligence Laboratory, Victor Chang Cardiac Research Institute, Sydney, Australia., Hung J; Division of Cardiology, Massachusetts General Hospital, Boston, Massachusetts., Stultz CM; Department of Electrical Engineering and Computer Science, Research Laboratory of Electronics, and Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts; Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, Massachusetts; Division of Cardiology, Massachusetts General Hospital, Boston, Massachusetts. Electronic address: cmstultz@mit.edu. |
| Source: | Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography [J Am Soc Echocardiogr] 2023 Jan; Vol. 36 (1), pp. 116-118. Date of Electronic Publication: 2022 Oct 30. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Mosby-Year Book Country of Publication: United States NLM ID: 8801388 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1097-6795 (Electronic) Linking ISSN: 08947317 NLM ISO Abbreviation: J Am Soc Echocardiogr Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 36323367 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Identifying Aortic Stenosis With a Single Parasternal Long-Axis Video Using Deep Learning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Dai+W%22">Dai W</searchLink>; Department of Electrical Engineering and Computer Science, Research Laboratory of Electronics, and Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts.<br /><searchLink fieldCode="AU" term="%22Nazzari+H%22">Nazzari H</searchLink>; Department of Cardiology, Surrey Memorial Hospital, Surrey, British Columbia, Canada; University of British Columbia, Vancouver, British Columbia, Canada.<br /><searchLink fieldCode="AU" term="%22Namasivayam+M%22">Namasivayam M</searchLink>; Department of Cardiology, St. Vincent's Hospital, Sydney, Australia; Faculty of Medicine and Health, University of New South Wales, Sydney, Australia; Heart Valve Disease and Artificial Intelligence Laboratory, Victor Chang Cardiac Research Institute, Sydney, Australia.<br /><searchLink fieldCode="AU" term="%22Hung+J%22">Hung J</searchLink>; Division of Cardiology, Massachusetts General Hospital, Boston, Massachusetts.<br /><searchLink fieldCode="AU" term="%22Stultz+CM%22">Stultz CM</searchLink>; Department of Electrical Engineering and Computer Science, Research Laboratory of Electronics, and Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts; Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, Massachusetts; Division of Cardiology, Massachusetts General Hospital, Boston, Massachusetts. Electronic address: cmstultz@mit.edu. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%228801388%22">Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography</searchLink> [J Am Soc Echocardiogr] 2023 Jan; Vol. 36 (1), pp. 116-118. <i>Date of Electronic Publication: </i>2022 Oct 30. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, Non-U.S. Gov't – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Mosby-Year+Book%22">Mosby-Year Book </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>8801388 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1097-6795 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2208947317%22">08947317 </searchLink><i>NLM ISO Abbreviation: </i>J Am Soc Echocardiogr <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=36323367 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.echo.2022.10.014 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 116 Titles: – TitleFull: Identifying Aortic Stenosis With a Single Parasternal Long-Axis Video Using Deep Learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Dai W – PersonEntity: Name: NameFull: Nazzari H – PersonEntity: Name: NameFull: Namasivayam M – PersonEntity: Name: NameFull: Hung J – PersonEntity: Name: NameFull: Stultz CM IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2023 Jan Type: published Y: 2023 Identifiers: – Type: issn-electronic Value: 1097-6795 Numbering: – Type: volume Value: 36 – Type: issue Value: 1 Titles: – TitleFull: Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography Type: main |
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