Israeli AI medical imaging startup DiA Imaging Analysis will partner with IBM Watson Health, a provider of innovative, AI, enterprise imaging and interoperability solutions used by medical professionals worldwide, the company announced this week.
IBM’s new Imaging AI Marketplace will offer DiA’s FDA-approved, AI-powered cardiac ultrasound software, designed to assist clinicians to analyze cardiac ultrasound images automatically.
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IBM announced the launch of its Imaging AI Marketplace at this year’s annual meeting of the Radiological Society of North America in Chicago taking place this week, according to MJH Life Sciences’ website Diagnostic Imaging.
It will also introduce DiA’s LVivo EF solution, one of several cardiological and general imaging AI solutions developed by the company. The LVivo EF application offers clinicians an AI-powered quantification solution that will provide data such as Ejection Fraction (EF) and Global Longitudinal Strain (GLS). The company expects to add additional solutions to the Marketplace in the near future.
“IBM Watson Health is proud to announce a collaboration with DiA Imaging,” said Anne Le Grand, general manager, imaging, life sciences and oncology, IBM Watson Health. “DiA’s innovative AI-powered offerings can provide our clients with the ability to analyze images with advanced AI-based solutions which can support IBM Watson Health’s mission to help build smarter health ecosystems.”
Founded in 2009 by Hila Goldman-Aslan (CEO), Michal Yaacobi (CTO), Arnon Toussia-Cohen (CCO) and Dr. Noah Liel-Cohen, DiA’s solutions assist clinicians to objectively and accurately analyze ultrasound images, reducing the subjectivity associated with a visual interpretation.
“Our collaboration with IBM Watson Health demonstrates the implementation of DiA’s vision to make the analysis of ultrasound images smarter and accessible to clinicians with various levels of experience, on any platform,” said Goldman-Aslan. “We are proud to offer our cross-platform, vendor-neutral solutions to healthcare providers in the IBM Watson Health’s ecosystem, leading the change to help transform ultrasound analysis with AI.”