ArticleJournal of echocardiography2026
Agreement of AI-assisted semi-automated right ventricular function analysis using 3D transthoracic echocardiography with artificial intelligence.
Article in Journal of echocardiography, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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7 authors.
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Abstract
backgroundAdvances in three-dimensional (3D) transthoracic echocardiography (TTE) with artificial intelligence (AI) enable AI-assisted semi-automated right ventricular (RV) function analysis, including two-dimensional (2D) measurements. However, data on the agreement of these semi-automated analyses in routine clinical practice remain limited. This study evaluates the agreement of AI-based 3D TTE semi-automated measurements compared to manual 2D TTE measurements.
methodsWe enrolled 201 patients who underwent both 2D and 3D TTE between July and November 2023. AI-assisted semi-automated measurements of right ventricular morphology and functional parameters were performed using 3D Auto RV software. While echocardiographic images were acquired manually by the operators in a conventional manner, the AI-assisted analysis was applied specifically during the post-acquisition offline processing stage.
resultsThe feasibility of RV measurement using the AI-based software was 84.8% (201/237) among patients with available 3D datasets, and the overall applicability was 67.4% (201/298) across all consecutive patients undergoing routine echocardiography. Among the 201 analyzed cases, fully automated analysis without manual correction was feasible in 10.9% (22/201), while the remaining 89.1% required manual adjustments of the endocardial borders to ensure clinical accuracy. Time for analysis was significantly shorter with the AI-assisted semi-automated method compared to the manual 2D method (30% reduction, p < 0.001).
conclusionsAI-based 3D TTE semi-automated measurement has the potential to enhance the efficiency and reproducibility of RV function assessment, reducing examiner workload and improving clinical workflow.
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