UtraSound scanners are good for having the snapshots of the womb of soon to be born babies. Their high frequency waves ability to penetrate the skin and also captures the soft structures which makes them ideal for imaging of the pancreas, liver, kidney diseases. And when you add the latest technology of AI, then they become more powerful.
Beersheba, which is Israel-based Dia Imaging Analysis, is an AI health care startup that develops automation tools for ultrasound scanners, and today the company has announced a $5 million funding round which is led by the famous investors Connecticut Innovations, Defta Healthcare, and the Israeli government’s Innovation Authority.
The company is going to use this amount to expand its portfolio, and for grow its core team to more than 20 employees. The company is also looking to grow its team in some other parts of the world which includes the Asia, Europe, and U.S.
“Ultrasound has a lot of challenges,” CEO and cofounder Hila Goldman Aslan told VentureBeat in a phone interview. “The position of the ultrasound during the procedure [can] affect the quality of the images, and there’s a lot of variability between how physicians are using it.”
Dia software solution which is building and optimizing the small and handhelds ultrasound scanners, solves the issue with the help of a machine learning algorithms. They analyze scans and detect patterns in the real time scenario by making the human eye identifies motion and borders.
“We’re not trying to replace doctors — we’re trying to help them understand what they’re seeing on the screen,” Aslan said.
The company’s first product in the market was of echocardiography, and it has been cleared by both the U.S. Food and Drug Administration and European health regulators.
In the year 2017, Dia signed a multiyear, nonexclusive licensing and professional services deal in collaboration with the GE Health, and in March entered into a collaborative agreement with Google Cloud to make its analysis tools “accessible from anywhere.” They analyze scans and detect patterns in the real time scenario by making the human eye identifies motion and borders.
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