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DiA Imaging Analysis Partners with SonoScape Medical Corporation to Deliver Cardiac Ultrasound AI solutions

DiA Imaging Analysis Partners with SonoScape Medical Corporation to Deliver Cardiac Ultrasound AI solutions News provided by Share this article BE ER SHEVA, Israel, and SHENZHEN, China  , May 11, 2021 /PRNewswire/ DiA Imaging Analysis Ltd. (DiA), a leading provider of AI-powered ultrasound analysis solutions today announced that it has partnered with SonoScape Medical Corporation  (300633.SZ), a leading developer and manufacturer of ultrasound systems. As part of the partnership, SonoScape s ultrasound devices will provide DiA s ultrasound artificial intelligence analysis solutions aiming to reduce the variability associated with manual or visual analysis, and increase efficiency and accuracy throughout the analysis process.  indicated that 85% of ultrasound users said that AI saved their practice time and 69% reported that it saved costs. By providing automated ultrasound AI solutions, this partnership fills the growing need for objective and accurate analysis in thi

Philips, DiA Imaging to Deliver Automated Solutions to Clinicians for Point-of-Care Imaging

Philips, DiA Imaging to Deliver Automated Solutions to Clinicians for Point-of-Care Imaging Written by AZoRoboticsMar 5 2021 Royal Philips, a global leader in health technology, and DiA Imaging Analysis Ltd., a leading provider of AI-powered applications for ultrasound, today announced a strategic partnership to deliver automated solutions to clinicians at the point-of-care. Philips’ industry leading ultrasound image quality combined with DiA’s AI library of automated solutions will help increase diagnostic confidence, operational efficiency, and access to care for Point-of-Care customers in and out of the hospital. Philips continues to build suites of intelligent and automated enhancements integrated into Radiology workflows across its portfolio to benefit customers and patients alike.

Philips Partners with DiA Imaging Analysis to Enhance Ultrasound

Philips Partners with DiA Imaging Analysis to Enhance Ultrasound     March 2, 2021    Philips and DiA Imaging Analysis Ltd., a leading provider of AI-powered applications for ultrasound, announced a strategic partnership to deliver automated solutions to clinicians at the point-of-care. Philips’ industry leading ultrasound image quality combined with DiA’s AI library of automated solutions will help increase diagnostic confidence, operational efficiency, and access to care for Point-of-Care customers in and out of the hospital. Philips continues to build suites of intelligent and automated enhancements integrated into Radiology workflows across its portfolio to benefit customers and patients alike. By facilitating the development and integration of AI-enabled applications, Philips aims to enhance its ability to deliver on the Quadruple Aim of better patient outcomes, improved patient and staff experiences and lower cost of care. The integration of AI applications with

Royal Philips: Philips partners with DiA Imaging Analysis to enhance ultrasound with AI-based image quantification

Royal Philips: Philips partners with DiA Imaging Analysis to enhance ultrasound with AI-based image quantification Royal Philips , a leading provider of AI-powered applications for ultrasound, today announced a strategic partnership to deliver automated solutions to clinicians at the point-of-care. Philips industry leading ultrasound image quality combined with DiA s AI library of automated solutions will help increase diagnostic confidence, operational efficiency, and access to care for Point-of-Care customers in and out of the hospital. Philips continues to build suites of intelligent and automated enhancements integrated into Radiology workflows across its portfolio to benefit customers and patients alike. By facilitating the development and integration of AI-enabled applications, Philips aims to enhance its ability to deliver on the Quadruple Aim of better patient outcomes, improved patient and staff experiences and lower cost of care. The integration of AI applications wi

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