Novel deep learning framework for simultaneous assessment of left ventricular mass and longitudinal strain: clinical feasibility and validation in patients with hypertrophic cardiomyopathy.

Journal: Journal of echocardiography
Published Date:

Abstract

BACKGROUND: This study aims to present the Segmentation-based Myocardial Advanced Refinement Tracking (SMART) system, a novel artificial intelligence (AI)-based framework for transthoracic echocardiography (TTE) that incorporates motion tracking and left ventricular (LV) myocardial segmentation for automated LV mass (LVM) and global longitudinal strain (LVGLS) assessment.

Authors

  • Jiesuck Park
    Department of Cardiology, Cardiovascular Center, Seoul National University Bundang Hospital, Seongnam, South Korea.
  • Yeonyee E Yoon
    Department of Internal Medicine, Seoul National University Bundang Hospital, Gyeonggi-do (I.-C.H., Y.E.Y., G.-Y.C.).
  • Yeonggul Jang
  • Taekgeun Jung
    Ontact Health Inc., Seoul, Republic of Korea, 50-5, Ewhayeodae-Gil, Seodaemun-Gu, Seoul, Republic of Korea.
  • Jaeik Jeon
    CONNECT-AI Research Center, Yonsei University College of Medicine, Seoul, 03 721, South Korea.
  • Seung-Ah Lee
    CONNECT-AI Research Center, Yonsei University College of Medicine, Seoul, Republic of Korea; Ontact Health Inc., Seoul, Republic of Korea.
  • Hong-Mi Choi
    Department of Cardiology, Cardiovascular Center, Seoul National University Bundang Hospital, Seongnam.
  • In-Chang Hwang
    Department of Internal Medicine, Seoul National University Bundang Hospital, Gyeonggi-do (I.-C.H., Y.E.Y., G.-Y.C.).
  • Eun Ju Chun
    Department of Radiology, Seoul National University Bundang Hospital, Seoul, Republic of Korea.
  • Goo-Yeong Cho
    Department of Internal Medicine, Seoul National University Bundang Hospital, Gyeonggi-do (I.-C.H., Y.E.Y., G.-Y.C.).
  • Hyuk-Jae Chang
    Department of Cardiology, Yonsei University College of Medicine, Seoul, Republic Of Korea.

Keywords

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