The amount of medical data is dramatically increasing these years and almost 70% comes from medical imaging, however, the radiologists are often in short supply and overworked. The imbalance between the human resources and explosive amount of the imaging data might lead to a problem which is diagnostic inaccuracy because it is unlikely to avoid errors when making pure experience-based medical decisions, especially under time pressure.
Developing AI-based medical imaging solutions have become a major promising approach to address the difficulties in medical imaging. The rapid evolution of algorithms and growing computation power has enabled AI to perform better accurate, efficient, and fast diagnostics in radiology than even before.
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PVmed and RADLogics are both AI technology companies pioneered in medical imaging and driven by clinicians needs. By working together, they will make full use of their comparative advantages and complement each other in a common effort to promote the AI medical imaging - driving innovations and turning cutting-edge research into practical commercial applications and industry benchmarks.
About RADLogics
Established in 2010, RADLogics is a healthcare software company developing AI-Powered solutions that support image analysis to improve radiologists' productivity while enhancing patient outcomes. Based in Boston, MA, U.S., and Tel Aviv, Israel, RADLogics is one of the pioneers in using AI & machine learning image analysis and advanced big data analytics to search and analyze imaging data from CTs, MRIs, PET scans, and X-rays to help reduce diagnostics turnaround time from hours to minutes by automating detection and report generation functions. The company's patented AI medical image analysis platform enables rapid development of AI algorithms, and provides seamless integration into existing radiology workflow.
About PVmed
PVmed, founded in May 2017, is a fast-growing medical imaging AI startup in China. PVmed believes the purpose of AI serving the medicine so that its business is based on developing AI-enhanced software and service in the field of healthcare and providing multi-disease and multi-modalities auxiliary diagnosis and treatment solutions to hospitals and other healthcare institutions.
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