Papolos A, Narula J, Bavishi C, et al. Hospital use of echocardiography: insights from the Nationwide Inpatient Sample. J Am Coll Cardiol. 2016;67:502–11.
Muhammad Y, Tahir M, Hayat M, et al. Early and accurate detection and diagnosis of heart disease using intelligent computational model. Sci Rep. 2020;10:19747.
Article CAS PubMed PubMed Central Google Scholar
Nagueh SF, Abraham TP, Aurigemma GP, et al. Interobserver variability in applying American Society of Echocardiography/European Association of Cardiovascular Imaging 2016 guidelines for estimation of left ventricular filling pressure. Circ Cardiovasc Imaging. 2019;12:e008122.
Bahrami HSZ, Pedersen FHG, Myhr KA, et al. Feasibility, repeatability, and reproducibility of contemporary diastolic parameters and classification. Int J Cardiovasc Imaging. 2021;37:931–44.
Potter E, Marwick TH. Assessment of left ventricular function by echocardiography: the case for routinely adding global longitudinal strain to ejection fraction. JACC Cardiovasc Imaging. 2018;11:260–74.
Morris DA, Belyavskiy E, Aravind-Kumar R, et al. Potential usefulness and clinical relevance of adding left atrial strain to left atrial volume index in the detection of left ventricular diastolic dysfunction. JACC Cardiovasc Imaging. 2018;11:1405–15.
Houard L, Militaru S, Tanaka K, et al. Test-retest reliability of left and right ventricular systolic function by new and conventional echocardiographic and cardiac magnetic resonance parameters. Eur Heart J Cardiovasc Imaging. 2021;22:1157–67.
Tanaka H. Efficacy of echocardiography for differential diagnosis of left ventricular hypertrophy: special focus on speckle-tracking longitudinal strain. J Echocardiogr. 2021;19:71–9.
Article PubMed PubMed Central Google Scholar
Thavendiranathan P, Negishi T, Somerset E, et al. Strain-guided management of potentially cardiotoxic cancer therapy. J Am Coll Cardiol. 2021;77:392–401.
Article CAS PubMed Google Scholar
Komuro J, Kusumoto D, Hashimoto H, et al. Machine learning in cardiology: clinical application and basic research. J Cardiol. 2023;82:128–33.
Krishna H, Desai K, Slostad B, et al. Fully automated artificial intelligence assessment of aortic stenosis by echocardiography. J Am Soc Echocardiogr. 2023;36:769–77.
Hirata Y, Nomura Y, Saijo Y, et al. Reducing echocardiographic examination time through routine use of fully automated software: a comparative study of measurement and report creation time. J Echocardiogr. 2024;22:162–70.
Article PubMed PubMed Central Google Scholar
Oren O, Gersh BJ, Bhatt DL. Artificial intelligence in medical imaging: switching from radiographic pathological data to clinically meaningful endpoints. Lancet Digit Health. 2020;2:e486–8.
Vaidyanathan A, Guiot J, Zerka F, et al. An externally validated fully automated deep learning algorithm to classify COVID-19 and other pneumonias on chest computed tomography. ERJ Open Res. 2022;8:00579–2021.
Article PubMed PubMed Central Google Scholar
Kusunose K, Zheng R, Yamada H, et al. How to standardize the measurement of left ventricular ejection fraction. J Med Ultrason. 2022;49:35–43.
Kusunose K, Haga A, Inoue M, et al. Clinically feasible and accurate view classification of echocardiographic images using deep learning. Biomolecules. 2020;10:665.
Article CAS PubMed PubMed Central Google Scholar
Zhang J, Gajjala S, Agrawal P, et al. Fully automated echocardiogram interpretation in clinical practice. Circulation. 2018;138:1623–35.
Article PubMed PubMed Central Google Scholar
Ouyang D, He B, Ghorbani A, et al. Video-based AI for beat-to-beat assessment of cardiac function. Nature. 2020;580:252–6.
Article CAS PubMed PubMed Central Google Scholar
Papadopoulou SL, Sachpekidis V, Kantartzi V, et al. Clinical validation of an artificial intelligence-assisted algorithm for automated quantification of left ventricular ejection fraction in real time by a novel handheld ultrasound device. Eur Heart J Digit Health. 2022;3:29–37.
Article PubMed PubMed Central Google Scholar
Tromp J, Bauer D, Claggett BL, et al. A formal validation of a deep learning-based automated workflow for the interpretation of the echocardiogram. Nat Commun. 2022;13:6776.
Article CAS PubMed PubMed Central Google Scholar
Tromp J, Seekings PJ, Hung CL, et al. Automated interpretation of systolic and diastolic function on the echocardiogram: a multicohort study. Lancet Digit Health. 2022;4:e46-54.
Article CAS PubMed Google Scholar
Kwan AC, Chang EW, Jain I, et al. Deep Learning-Derived Myocardial Strain. JACC Cardiovasc Imaging. 2024;17:715–25.
Faul F, Erdfelder E, Lang AG, et al. G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods. 2007;39:175–91.
Mitchell C, Rahko PS, Blauwet LA, et al. Guidelines for Performing a Comprehensive Transthoracic Echocardiographic Examination in Adults: Recommendations from the American Society of Echocardiography. J Am Soc Echocardiogr. 2019;32:1–64.
Chan J, Shiino K, Obonyo NG, et al. Left Ventricular Global Strain Analysis by Two-Dimensional Speckle-Tracking Echocardiography: The Learning Curve. J Am Soc Echocardiogr. 2017;30:1081–90.
Negishi K, Negishi T, Kurosawa K, et al. Practical guidance in echocardiographic assessment of global longitudinal strain. JACC Cardiovasc Imaging. 2015;8:489–92.
Bunting KV, Steeds RP, Slater K, et al. A Practical Guide to Assess the Reproducibility of Echocardiographic Measurements. J Am Soc Echocardiogr. 2019;32:1505–15.
Crowley AL, Yow E, Barnhart HX, et al. Critical Review of Current Approaches for Echocardiographic Reproducibility and Reliability Assessment in Clinical Research. J Am Soc Echocardiogr. 2016;12:1144–54-e7.
Barnhart HX, Yow E, Crowley AL, et al. Choice of agreement indices for assessing and improving measurement reproducibility in a core laboratory setting. Stat Metho Med Res. 2016;6:2939–58.
Myhre PL, Gaibazzi N, Tuttolomondo D, et al. Concordance of left ventricular volumes and function measurements between two human readers, a fully automated AI algorithm, and the 3D heart model. Front Cardiovasc Med. 2024;11:1400333.
Article PubMed PubMed Central Google Scholar
Myhre PL, Hung CL, Frost MJ, et al. External validation of a deep learning algorithm for automated echocardiographic strain measurements. Eur Heart J Digit Health. 2024;5:60–8.
Kato T, Harada T, Kagami K, et al. The roles of global longitudinal strain imaging in contemporary clinical cardiology. J Med Ultrason. 2022;49:175–85.
Chaganti BT, Negishi K, Okajima K. Role of myocardial strain imaging in cancer therapy-related cardiac dysfunction. Curr Cardiol Rep. 2022;24:739–48.
Lima MSM, Villarraga HR, Abduch MCD, et al. Global longitudinal strain or left ventricular twist and torsion? Which correlates best with ejection fraction? Arq Bras Cardiol. 2017;109:23–9.
Comments (0)