Literature DB >> 33426010

The Role of Artificial Intelligence in Cardiovascular Imaging: State of the Art Review.

Karthik Seetharam1, Daniel Brito1, Peter D Farjo1, Partho P Sengupta1.   

Abstract

In this current digital landscape, artificial intelligence (AI) has established itself as a powerful tool in the commercial industry and is an evolving technology in healthcare. Cutting-edge imaging modalities outputting multi-dimensional data are becoming increasingly complex. In this era of data explosion, the field of cardiovascular imaging is undergoing a paradigm shift toward machine learning (ML) driven platforms. These diverse algorithms can seamlessly analyze information and automate a range of tasks. In this review article, we explore the role of ML in the field of cardiovascular imaging.
Copyright © 2020 Seetharam, Brito, Farjo and Sengupta.

Entities:  

Keywords:  advanced imaging; automation; cardiovascular imaging; machine learning; precision medicine

Year:  2020        PMID: 33426010      PMCID: PMC7786371          DOI: 10.3389/fcvm.2020.618849

Source DB:  PubMed          Journal:  Front Cardiovasc Med        ISSN: 2297-055X


  8 in total

Review 1.  Advances in Machine Learning Approaches to Heart Failure with Preserved Ejection Fraction.

Authors:  Faraz S Ahmad; Yuan Luo; Ramsey M Wehbe; James D Thomas; Sanjiv J Shah
Journal:  Heart Fail Clin       Date:  2022-03-04       Impact factor: 3.179

Review 2.  Quantification of Myocardial Deformation Applying CMR-Feature-Tracking-All About the Left Ventricle?

Authors:  Torben Lange; Andreas Schuster
Journal:  Curr Heart Fail Rep       Date:  2021-05-01

Review 3.  Artificial Intelligence Advancements in the Cardiovascular Imaging of Coronary Atherosclerosis.

Authors:  Pedro Covas; Eison De Guzman; Ian Barrows; Andrew J Bradley; Brian G Choi; Joseph M Krepp; Jannet F Lewis; Richard Katz; Cynthia M Tracy; Robert K Zeman; James P Earls; Andrew D Choi
Journal:  Front Cardiovasc Med       Date:  2022-03-21

4.  Dissecting miRNA-Gene Networks to Map Clinical Utility Roads of Pharmacogenomics-Guided Therapeutic Decisions in Cardiovascular Precision Medicine.

Authors:  Fani Chatzopoulou; Konstantinos A Kyritsis; Christos I Papagiannopoulos; Eleftheria Galatou; Nikolaos Mittas; Nikoleta F Theodoroula; Andreas S Papazoglou; Efstratios Karagiannidis; Maria Chatzidimitriou; Anna Papa; Georgios Sianos; Lefteris Angelis; Dimitrios Chatzidimitriou; Ioannis S Vizirianakis
Journal:  Cells       Date:  2022-02-10       Impact factor: 6.600

5.  Real-World and Regulatory Perspectives of Artificial Intelligence in Cardiovascular Imaging.

Authors:  Ernst Wellnhofer
Journal:  Front Cardiovasc Med       Date:  2022-07-22

Review 6.  Applications of Machine Learning in Cardiology.

Authors:  Karthik Seetharam; Sudarshan Balla; Christopher Bianco; Jim Cheung; Roman Pachulski; Deepak Asti; Nikil Nalluri; Astha Tejpal; Parvez Mir; Jilan Shah; Premila Bhat; Tanveer Mir; Yasmin Hamirani
Journal:  Cardiol Ther       Date:  2022-07-12

Review 7.  Artificial Intelligence Advances in the World of Cardiovascular Imaging.

Authors:  Bhakti Patel; Amgad N Makaryus
Journal:  Healthcare (Basel)       Date:  2022-01-14

8.  A Risk-Stratification Machine Learning Framework for the Prediction of Coronary Artery Disease Severity: Insights From the GESS Trial.

Authors:  Nikolaos Mittas; Fani Chatzopoulou; Konstantinos A Kyritsis; Christos I Papagiannopoulos; Nikoleta F Theodoroula; Andreas S Papazoglou; Efstratios Karagiannidis; Georgios Sofidis; Dimitrios V Moysidis; Nikolaos Stalikas; Anna Papa; Dimitrios Chatzidimitriou; Georgios Sianos; Lefteris Angelis; Ioannis S Vizirianakis
Journal:  Front Cardiovasc Med       Date:  2022-01-18
  8 in total

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