Methodist Journal

IN THIS ISSUE

Cardiovascular Imaging

Vol 16, Issue 2 (2020)


FEATURED GUEST EDITOR

ISSUE INTRO

Cardiovascular Imaging: A Window into Diagnostic and Therapeutic Management

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RECOGNITIONS

Guest Editor Dipan J. Shah Lends Expertise and Insight to Special Issue on Cardiovascular Imaging

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REVIEW ARTICLES See More

Cardiac Computed Tomography for Comprehensive Coronary Assessment: Beyond Diagnosis of Anatomic Stenosis

Cardiac Magnetic Resonance in Nonischemic Cardiomyopathies

Cardiac Computed Tomography for Structural Heart Disease Assessment and Therapeutic Planning: Focus on Prosthetic Valve Dysfunction

Fluorodeoxyglucose Applications in Cardiac PET: Viability, Inflammation, Infection, and Beyond

Cardiac Magnetic Resonance in Valvular Heart Disease: Assessment of Severity and Myocardial Remodeling

Patient-Specific Modeling for Structural Heart Intervention: Role of 3D Printing Today and Tomorrow

Artificial Intelligence in Cardiovascular Imaging

Myocardial Perfusion Imaging Using Positron Emission Tomography

CASE REPORTS See More

COVID-19: A Potential Risk Factor for Acute Pulmonary Embolism

Cardiac Lymphoma Presenting with Recurrent STEMI

Complete Heart Block in Systemic Sclerosis with Characterization on Cardiac MRI

Repair of Extent III Thoracoabdominal Aneurysm in the Presence of Aortoiliac Occlusion

MUSEUM OF HMH MULTIMODALITY IMAGING CENTER See More

A T2-Weighty Discovery: Aortitis on Cardiac MRI with Histopathologic Correlation

CLINICAL PERSPECTIVES See More

POINTS TO REMEMBER

Case-Based Points on the Role of Imaging in Kidney Disease

POINTS TO REMEMBER

Acute Kidney Injury in Cardiogenic Shock

EXCERPTA

Cardio-Oncology, Then and Now: An Interview with Barry Trachtenberg

POINTS TO REMEMBER

Onconephrology: An Evolving Field

EDITORIALS

Letter to the Editor in Response to “Cardiac Autonomic Neuropathy in Diabetes Mellitus”

Vol 16, Issue 2 (2020)

Article Abstract

Artificial Intelligence in Cardiovascular Imaging


Article Citation:

Lim LJ, Tison GH, Delling FN. Artificial Intelligence in Cardiovascular Imaging. Methodist DeBakey Cardiovasc J. 2020 June;16(2):138-145.

doi:

Abstract

The number of cardiovascular imaging studies is growing exponentially, and so is the need to improve clinical workflow efficiency and avoid missed diagnoses. With the availability and use of large datasets, artificial intelligence (AI) has the potential to improve patient care at every stage of the imaging chain. Current literature indicates that in the short-term, AI has the capacity to reduce human error and save time in the clinical workflow through automated segmentation of cardiac structures. In the future, AI may expand the informational value of diagnostic images based on images alone or a combination of images and clinical variables, thus facilitating disease detection, prognosis, and decision making. This review describes the role of AI, specifically machine learning, in multimodality imaging, including echocardiography, nuclear imaging, computed tomography, and cardiac magnetic resonance, and highlights current uses of AI as well as potential challenges to its widespread implementation.

Keywords
artificial intelligence , machine learning , cardiac imaging