Artificial Intelligence-Enabled Echocardiographic Assessment of Right Ventricular Function
EchoNet-RV enables the rapid and automated assessment of RVFAC, with strong potential to become a valuable tool for the echocardiographic evaluation of RV function and disease surveillance.
Authors
- B. He
- B. Merkely
- Kai Shiida
- Miloš Vukadinovic (ORCID: https://orcid.org/0000-0002-0431-1493)
- Ádám Szijártó (ORCID: https://orcid.org/0000-0001-7256-1243)
- Mate Tolvaj
- Andrea Ferencz (ORCID: https://orcid.org/0009-0007-6747-4373)
- David W. Ouyang
- Susan Cheng
- A Fabian
- A Kovacs
- Chung-Lieh Hung
Institutions
- Semmelweis University (HU)
- Cedars-Sinai Medical Center (US)
- Kaiser Permanente (US)
- University of California, Los Angeles (US)
- Mackay Memorial Hospital (TW)
- Kaiser Permanente Santa Clara Medical Center (US)
- Cedars-Sinai Smidt Heart Institute (US)
- Stanford University (US)
Publication Details
- Journal
- medRxiv
- Published
- 2026-01-22
- DOI
- https://doi.org/10.64898/2026.01.20.26344425
- Primary Topic
- Pulmonary Hypertension Research and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00