An automated AI pipeline using digitized tissue Doppler waveforms effectively classifies right ventricular ejection fraction <45% to risk-stratify patients with pulmonary hypertension.
Does an AI-facilitated analysis of single-image Tissue Doppler signals accurately classify RVEF <45% and risk-stratify patients with pulmonary hypertension?
An AI-facilitated pipeline using single-image Tissue Doppler signals can automate the classification of right ventricular dysfunction and assist in risk-stratifying patients with pulmonary hypertension.
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We developed a fully automated pipeline that integrates digitized TDI waveforms with both parametric and non-parametric features to classify RVEF <45%. This approach can effectively risk-stratify patients with PH.
Tan et al. (Wed,) reported a other. An automated AI pipeline using digitized tissue Doppler waveforms effectively classifies right ventricular ejection fraction <45% to risk-stratify patients with pulmonary hypertension.