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Performance of Fully Automated AI-Based Left Ventricular Strain Measurement in Cancer Patients Treated With Immune Checkpoint Inhibitors.

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Bibliographic Details
Title: Performance of Fully Automated AI-Based Left Ventricular Strain Measurement in Cancer Patients Treated With Immune Checkpoint Inhibitors.
Authors: Tzuberi M; Division of Cardiology, Tel Aviv Sourasky University Medical Center, Tel Aviv, Israel; Gray Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel., Laufer-Perl M; Division of Cardiology, Tel Aviv Sourasky University Medical Center, Tel Aviv, Israel; Gray Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel., Merin R; Internal Medicine Division, Tel Aviv Sourasky University Medical Center, Tel Aviv, Israel; Gray Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel., Khoury S; Division of Cardiology, Tel Aviv Sourasky University Medical Center, Tel Aviv, Israel; Gray Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel., Ben-Shoshan J; Division of Cardiology, Tel Aviv Sourasky University Medical Center, Tel Aviv, Israel; Gray Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel., Kapusta L; Pediatric Cardiology Unit, Tel Aviv Sourasky University Medical Center, Tel Aviv, Israel; Gray Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel; Department of Pediatrics Cardiology, Amalia Children's Hospital, Radboud University Medical Centre, Nijmegen, The Netherlands., Topilsky Y; Division of Cardiology, Tel Aviv Sourasky University Medical Center, Tel Aviv, Israel; Gray Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel., Flint N; Division of Cardiology, Tel Aviv Sourasky University Medical Center, Tel Aviv, Israel; Gray Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel. Electronic address: nirf@tlvmc.gov.il.
Source: The American journal of cardiology [Am J Cardiol] 2026 Jul 10. Date of Electronic Publication: 2026 Jul 10.
Publication Type: Journal Article
Journal Info: Publisher: Excerpta Medica Country of Publication: United States NLM ID: 0207277 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-1913 (Electronic) Linking ISSN: 00029149 NLM ISO Abbreviation: Am J Cardiol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-1913
DOI:10.1016/j.amjcard.2026.06.031