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  • What Competitive Strategies Drive the Growth of Commercial AI in Medical Imaging?
    Use cases for disruptive technologies that drive efficiencies in stroke care and precision diagnosis in coronary artery disease and lung care

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    Before pandemic, there was already a workforce shortage in the healthcare system, which has worsened further by the pandemic. During the pandemic, many healthcare professionals were forced to work extra hard which led to stress, burnout, and resignation. Critical workforce shortage has endangered access to care and has a negative impact on patient outcomes. Nevertheless, thanks to the rapid development of AI in understanding text, images, and videos, the much-anticipated revolution in diagnostic radiology is transforming the imaging workflow and how patient care is delivered. AI applications have added value to the imaging businesses especially by increasing the radiologist’s efficiency, and productivity. Additionally, helping them focus more on the most important task—patient care—for improved outcomes.

    Access this research to gain insights on top 3 growth opportunity for commercial AI in Medical Imaging, checklist-based approach to purchasing an AI commercial solution for imaging applications, market trends that will impact the adoption of these AI-based solutions, clinical application and use cases for technologies that address imaging concerns in the treatment of stroke, Coronary artery disease, and lung diseases.

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