Artificial Intelligence for Dynamic Echocardiographic Tricuspid Valve Analysis: A New Tool in Echocardiography

Huma Fatima, Feroze Mahmood, Sankalp Sehgal, Kiran Belani, Aidan Sharkey, Omar Chaudhary, Yanick Baribeau, Robina Matyal, Kamal R. Khabbaz*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

13 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)2703-2706
Number of pages4
JournalJournal of Cardiothoracic and Vascular Anesthesia
Issue number10
StatePublished - Oct 2020


  • artificial intelligence
  • tricuspid valve
  • tricuspid valve regurgitation

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine
  • Anesthesiology and Pain Medicine


Dive into the research topics of 'Artificial Intelligence for Dynamic Echocardiographic Tricuspid Valve Analysis: A New Tool in Echocardiography'. Together they form a unique fingerprint.

Cite this