"The excellent results of the studies demonstrate the accuracy of the LVivo EF tool as well as its clinical and economic value," said Hila Goldman-Aslan, DiA's Co-Founder and CEO. "The results fit DiA's vision of supporting clinicians' in decision-making processes by generating automatic, objective and accurate AI-Based solutions. We thank Dr. Goldman's team for these fascinating studies."
Both studies will be presented by Solomon Bienstock MD, Icahn School of Medicine at Mount Sinai at the ASE 2019, 30th Annual Scientific Session (Portland, USA), June 24th, Exhibit Hall C, P-099, 11:45-13:15.
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DiA invites interested parties to learn more about how AI could make ultrasound analysis accessible to all and ultimately improve patient care. They will be presenting at ASE 2019 in booth #115.
About DiA Imaging Analysis
DiA Imaging Analysis makes ultrasound analysis accessible to all by using its advanced AI-based technology which assists clinicians, at all experience levels, analyze ultrasound images - objectively and accurately. The technology is based on advanced pattern recognition, deep learning and machine learning algorithms which imitate the way the human eye detects borders and identifies motion. DiA's automated tools deliver fast and accurate clinical indications to support the decision-making process, ultimately improving patient care. The company was founded by Dr. Noah Liel-Cohen, Hila Goldman Aslan (CEO), Michal Yaacobi (CTO), and Arnon Toussia-Cohen (CCO).
SOURCE DIA Imaging Analysis
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