Accuracy and reproducibility of a novel artificial intelligence deep learning-based algorithm for automated calculation of ejection fraction in echocardiography. (Record no. 8798)

MARC details
000 -LEADER
fixed length control field 00997nam a22002657a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210111s20192019 xxu||||| |||| 00| 0 eng d
098 ## - OTHER CLASSIFICATION SCHEMES (OCLC)
Conf-Poster C2019_451
245 ## - TITLE STATEMENT
Title Accuracy and reproducibility of a novel artificial intelligence deep learning-based algorithm for automated calculation of ejection fraction in echocardiography.
251 ## - Source
Source 2019/03/16/
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Year 2019
Manufacturer FY2019
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Date added to catalog 2021-01-11
658 ## - INDEX TERM--CURRICULUM OBJECTIVE
Activity Poster presented at
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Meeting name 68th Annual Scientific Sessions of the American College of Cardiology: ACC.19
Location of meeting New Orleans, LA.
Type of activity MedStar Health Research Institute
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Local Authors Abraham, Theodore
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Local Authors Adams, Mike
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Local Authors Asch, Federico
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Local Authors Cleve, Jayne
700 ## - ADDED ENTRY--PERSONAL NAME
Local Authors Hong, Ha
700 ## - ADDED ENTRY--PERSONAL NAME
Local Authors Jankowski, Madelline
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Local Authors Lang, Roberto
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Local Authors Polivert, Nicolas
700 ## - ADDED ENTRY--PERSONAL NAME
Local Authors Romano, Nathanael
790 ## - Authors
All authors Asch FM, Abraham T, Jankowski M, Cleve J, Adams M, Romano N, Polivert N, Hong H, Lang R.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Poster Presentation
Item type description Poster
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection Home library Current library Date acquired Total Checkouts Date last seen Price effective from Koha item type
          MedStar Authors Catalog MedStar Authors Catalog 01/11/2021   01/11/2021 01/11/2021 Poster Presentation

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