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Israel’s DiA Imaging Analysis Offers New Ultrasound Solution

Hila Goldman Aslan, DiA’s Co-Founder and CEO. Photo DiA Imaging Analysis

DiA Imaging Analysis is an Israeli startup that provides AI-driven ultrasound analysis to help clinicians with their procedures. DiA has completed a $14 million investment bringing. This brings DiA Imaging Analysis’ total funding to date to $25 million.

Just this past March, DiA formed a strategic partnership with Royal Philips, a global leader in health technology, to deliver automated solutions to clinicians at the point-of-care.
The Mayo Clinic explains that diagnostic ultrasound, also called sonography or diagnostic medical sonography, is an imaging method that uses high-frequency sound waves to produce images of structures within your body. The images can provide valuable information for diagnosing and treating a variety of diseases and conditions.

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Most people think of ultrasound as something used mostly on pregnant women to see their fetus and determine its health. But ultrasounds are used for a wide variety of medical purposes, such as check for Kidney stones, to diagnose gallbladder disease, check a breast lump and much more.

Most ultrasound examinations are done using an ultrasound device outside your body, though some involve placing a device inside your body.
DiA makes the use and analysis of ultrasound images smarter and accessible to all by empowering ultrasound users with AI. The company has invented an AI-based technology that transforms the way clinicians capture and analyze ultrasound images.

Instead of the visual subjective analysis done today, DiA offers Al-Based solutions that enable users to identify clinical indications and abnormalities, objectively and accurately. By using AI, DiA declares that it solves the two main challenges ultrasound users are struggling with today: how to capture the right image and how to analyze it correctly.

Their cardiac solution, LVivo Toolbox generates an objective automated AI-based ultrasound analysis which helps to reduce the variability associated with visual analysis and increases the users’ efficiency.
The technology uses advanced pattern recognition and machine learning algorithms to automatically imitate the way the human eye detects image borders and identifies motion. DiA’s LVivo Toolbox is FDA cleared, CE marked and ISO certified, already used by thousands of end users around the world.

“DiA continues to advance how ultrasound images are captured and analyzed, arming ultrasound users with the ability to make more accurate clinical assessments and ultimately provide better care to patients,” said Hila Goldman Aslan, DiA’s Co-Founder and CEO. “We are excited to see the enthusiasm from our growing investor base who see the potential for DiA’s commercial success. We are ready and eager to take DiA to the next level by delivering our current and upcoming AI-powered ultrasound solutions to medical settings around the world.”



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