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Medical imaging AI is increasingly included within radiology IT tenders, with imaging IT vendors needing to address how the integration of AI image analysis tools into the workflow will be achieved. However, an imaging IT vendors AI strategy is not straightforward, with competing R&D priorities such as enterprise imaging, structured reporting and cloud requiring investment, as well as a 200+ ecosystem of AI vendors to navigate – leaving imaging IT vendors with questions such as who is the right partner(s)? Which AI vendors will still be operational in 5 years?
Signify Research’s AI in Medical Imaging coverage supports vendors in demystifying the AI landscape and is used by 7 of the 10 global imaging IT vendors.
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About the Author
Ellie joined Signify Research in 2023 as part of the Medical Imaging team. She holds a BSc in Biomedical Sciences from the University of Bath and an MSc in Clinical Drug Development from University College London.
About the AI in Healthcare Team
Signify Research’s AI in Medical Imaging service provides expert market intelligence and detailed insights for several of the leading AI and Imaging IT vendors. Combining primary data collection and in-depth discussions with industry stakeholders, our thorough research approach yields credible quantitative and qualitative analysis, helping our customers make critical business decisions with confidence. Furthermore, our commitment to seeking a plurality of perspectives across the markets we cover guarantees that our insights remain independent and balanced.
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Signify Research provides healthtech market intelligence powered by data that you can trust. We blend insights collected from in-depth interviews with technology vendors and healthcare professionals with sales data reported to us by leading vendors to provide a complete and balanced view of the market trends. Our coverage areas are Medical Imaging, Clinical Care, Digital Health, Diagnostic and Lifesciences and Healthcare IT.
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