Contextvision Introduces AI-Powered Image Enhancement for Radiography
ContextVision, a medical technology software company specializing in image analysis and artificial intelligence, announced that the company will launch a first product – Altumira(TM) – of a new generation of image enhancement products at the RSNA (The Radiological Society of North America) meeting in Chicago, starting November 25.
“With the integration of artificial intelligence (AI), ContextVision takes radiography to new levels with Altumira(TM),” said Anita Tollstadius, CEO of ContextVision. “This shows that our strong focus on R&D towards AI, is paying off.”
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Altumira(TM) is designed for all digital radiography systems, from plain X-ray to the most advanced angiography systems, and advances ContextVision’s present product portfolio of state-of-the-art image enhancement for X-ray. This is the first product from the company combining AI with the proprietary GOP technology to address the challenges regarding durability and high image quality that have been difficult to solve before.
“This new product has been designed for X-ray systems that can be used for both static and dynamic imaging. These combined systems are increasingly being used in healthcare and a growing segment,” said Tollstadius.
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The new image enhancement platform offers image enhancement with a greater resilience. Using AI, optimal image quality can be achieved even with varying conditions such as different dose exposures and different anatomies for both static and dynamic imaging. This technology provides unique features and great results both in low-dose fluoro sequences and high-quality angiography sequences.
“Our customers can now meet the demanding needs of digital radiography today, by handling all types of variations within and between images and sequences for both plain and dynamic digital radiography,” Tollstadius said. “With our next-generation image enhancement, we’re bringing great value and confidence to both manufacturers and radiologists, providing them the highest image quality in every exam.”
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