Kenya Kusunose

Professor

University of the Ryukyus

Japan

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About

Professor Kenya Kusunose is a faculty member at the University of the Ryukyus in Japan. His research areas include cardiovascular medicine, with a focus on cardiotoxicity, mitral stenosis, and the implications of atrial fibrillation in aortic regurgitation. He has published numerous articles exploring advanced methodologies in echocardiography and the outcomes of various cardiac interventions. His work contributes significantly to the understanding and advancement of cardiovascular health.

Articles (20)

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2025

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2022

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2022

Collaborators (1)

Kyohei Yamaji

助教 / Assistant Professor

Kyoto University

JAPAN

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Kenya Kusunose

Research Interests

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Articles (20)

Evolving insights into VEGFI cardiotoxicity: past challenges, present findings and future opportunities

Low-Gradient Severe Mitral Stenosis: Pressure Gradients Do Not Tell the Whole Story

Atrial fibrillation in chronic aortic regurgitation: the missing link in prognosis and surgical timing

Asymptomatic cor triatriatum dexter detected decades after cardiac surgery

Successful or Uncomplicated Use of Drug‐Coated Balloon Versus Drug‐Eluting Stent Strategies for De Novo Culprit Lesions in Acute Coronary Syndromes: Insights from a Nationwide Registry in Japan

Shaping the future of cardiovascular medicine: advancing morphological atlases

Association of changes in brachial-ankle pulse wave velocity after transcatheter aortic valve replacement with mortality in Japanese patients with severe aortic stenosis: A single center, retrospective cohort study

Correction: Association of changes in brachial-ankle pulse wave velocity after transcatheter aortic valve replacement with mortality in Japanese patients with severe aortic stenosis: A single center, retrospective cohort study

Reducing echocardiographic examination time through routine use of fully automated software: a comparative study of measurement and report creation time

Echocardiographic artificial intelligence for pulmonary hypertension classification

The Clinical Utility of Noninvasive Forrester Classification in Acute Heart Failure from PREDICT Study

Correlation between energy loss index and B-type natriuretic peptide: a vector flow mapping study

Revolution of echocardiographic reporting: the new era of artificial intelligence and natural language processing

Prognostic implications of pulmonary vascular resistance in transcatheter aortic valve implantation

Value and challenges of lung ultrasound in stratifying ST-elevation myocardial infarction risk

Artificial intelligence-assisted interpretation of systolic function by echocardiogram

Association between cardiovascular risk factors and left ventricular strain distribution in patients without previous cardiovascular disease

Clinical course and decision‐making in heart failure by preload stress echocardiography: a preliminary study

Insights of pressure–flow relationship during exercise in cardiovascular diseases

Is diastolic dysfunction a red flag sign in moderate aortic stenosis?

Collaborators (1)

Kyohei Yamaji

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