Artificial Intelligence for Dynamic Echocardiographic Tricuspid Valve Analysis: A New Tool in Echocardiography
| Autor: | Yanick Baribeau, Feroze Mahmood, Kiran Belani, Aidan Sharkey, Omar Chaudhary, Kamal R. Khabbaz, Huma Fatima, Sankalp Sehgal, Robina Matyal |
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| Rok vydání: | 2020 |
| Předmět: |
Prototype software
Echocardiography Three-Dimensional 030204 cardiovascular system & hematology 03 medical and health sciences Software analytics 0302 clinical medicine Software Artificial Intelligence 030202 anesthesiology Functional tricuspid regurgitation medicine Humans Tricuspid valve Cardiac cycle business.industry Reproducibility of Results Tricuspid Valve Insufficiency Structure and function Anesthesiology and Pain Medicine medicine.anatomical_structure Echocardiography cardiovascular system Tricuspid Valve Artificial intelligence Tricuspid Valve Regurgitation Cardiology and Cardiovascular Medicine business Echocardiography Transesophageal |
| Zdroj: | Journal of Cardiothoracic and Vascular Anesthesia. 34:2703-2706 |
| ISSN: | 1053-0770 |
| Popis: | There has been a resurgence of interest in the structure and function of the tricuspid valve (TV) with the established prognostic impact of functional tricuspid regurgitation. Current 3-dimensional transesophageal echocardiography prototype software is limited to exploration of the mitral and aortic valves exclusively. Thus, newer analytical software is required for dynamic geometric analysis of the TV morphology for remodeling. This article presents a preliminary experience with novel artificial intelligence-based semiautomated software for TV analysis. The software offers high correlation to surgical inspection by its ability to analyze morphology and dynamics of the valve throughout the cardiac cycle. In addition, it allows higher reproducibility of data analysis and reduces interobserver variability with minimal need for manual intervention. Integration of interactivity through preprocedural placement of specific devices of different sizes and shapes in the mitral and aortic positions facilitates prognostic evaluation of surgical and interventional procedures. |
| Databáze: | OpenAIRE |
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