Clinical Data

Listings of current and upcoming trials and publications.

ADOPTS Trial

The ADOPTS study is a multi-center study aiming to compare the proprietary Silverleaf non-invasive technology to the current stand of care for measuring pulmonary artery pressures; the Swan-Ganz catheter.

The study has been initiated at PIH-Good Samaritan Hospital in Los Angeles and is in the process of being approved at the Loma Linda VA healthcare system.

learn about ADOPT

Publications

An artificial intelligence-based noninvasive solution to estimate pulmonary artery pressure.

develop an artificial intelligence (AI) algorithm to accurately predict the pulmonary artery pressure (PAP) waveform using non-invasive signal inputs.

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A High-Precision Machine Learning Algorithm to Classify Left and Right Outflow Tract Ventricular Tachycardia.

Multiple algorithms based on 12-lead ECG measurements have been proposed to identify the right ventricular outflow tract (RVOT) and left ventricular outflow tract (LVOT) locations from which ventricular tachycardia (VT) and frequent premature ventricular complex (PVC) originate. However, a clinical-grade machine learning algorithm that automatically analyzes characteristics of 12-lead ECGs and predicts RVOT or LVOT origins of VT and PVC is not currently available. The effective ablation sites of RVOT and LVOT, confirmed by a successful ablation procedure, provide evidence to create RVOT and LVOT labels for the machine learning model.

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