“This advances Duke University’s efforts in digitalising clinical trials,” said Dr. Sreekanth Vemulapalli, Associate Professor of Medicine, core faculty member of Duke-Margolis Center for Health Policy, and member of the Duke Clinical Research Institute. “The US2 software could enable the use of echocardiography in screening or as a procedure at an accelerated pace and in a cost-effective manner.”
Us2.ai software automated measurements include 2-dimensional (cardiac volumes, all 4 chambers of the heart), M-mode (e.g. tricuspid annular plane systolic excursion), spectral Doppler (blood flow across all valves, both PW and CW measurements) and tissue Doppler. This covers the vast majority of standard measurements for adult transthoracic echocardiography recommended by the American Society of Echocardiography, European Association of Cardiovascular Imaging, and British Society of Echocardiography.
About Us2.ai
Us2.ai uses machine learning to automate the fight against heart disease. The company’s software tools improve clinical decision making and cardiovascular research for clinical trials using echocardiography, the safest and most common cardiac imaging modality. Us2.ai connects institutions and imaging labs around the world on a platform of ready to use automation tools for view classification, segmentation and federated learning across diverse, anonymous patient and disease cohorts.
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