CardiacField: computational echocardiography for automated heart function estimation using two-dimensional echocardiography probes.

ABSTRACT:

Aims

Accurate heart function estimation is vital for detecting and monitoring cardiovascular diseases. While two-dimensional echocardiography (2DE) is widely accessible and used, it requires specialized training, is prone to inter-observer variability, and lacks comprehensive three-dimensional (3D) information. We introduce CardiacField, a computational echocardiography system using a 2DE probe for precise, automated left ventricular (LV) and right ventricular (RV) ejection fraction (EF) estimations, which is especially easy to use for non-cardiovascular healthcare practitioners. We assess the system's usability among novice users and evaluate its performance against expert interpretations and advanced deep learning (DL) tools.

Methods and results

We developed an implicit ne

SUBMITTER: Shen C 

PROVIDER: S-EPMC11750196 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature