Detection of Left Ventricular Outflow Obstruction From Standard B-Mode Echocardiogram Videos Using Deep Learning.

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Bibliographic Details
Title: Detection of Left Ventricular Outflow Obstruction From Standard B-Mode Echocardiogram Videos Using Deep Learning.
Authors: Yuan V; David Geffen School of Medicine at University of California, Los Angeles, California, USA; Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA., Ieki H; Division of Cardiology, Department of Medicine, Stanford University, Palo Alto, California, USA., Binder C; Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA., Sahashi Y; Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA., Cheng PC; Division of Cardiology, Department of Medicine, Stanford University, Palo Alto, California, USA., Ouyang D; Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA; Division of Research, Kaiser Permanente Northern California, Pleasanton, California, USA. Electronic address: David.ouyang@kp.org.
Source: JACC. Advances [JACC Adv] 2026 Jun; Vol. 5 (6 Pt 2), pp. 102801.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Inc Country of Publication: United States NLM ID: 9918419284106676 Publication Model: Print Cited Medium: Internet ISSN: 2772-963X (Electronic) Linking ISSN: 2772963X NLM ISO Abbreviation: JACC Adv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2772-963X
DOI:10.1016/j.jacadv.2026.102801