Radiology

AIMed Champions Connect Q2 Report

This research project sought to assess the extent to which artificial intelligence (AI) is being deployed at a population health level

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Unlocking the Value of AI in Radiology

Artificial intelligence is here, and it’s here to stay and the number of companies developing AI technologies for radiology applications is increasing rapidly.

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Overcoming the hurdles of AI adoption

This video examines the current hurdles to the widespread adoption of AI in Radiology and highlights the many hurdles providers need to identify to ensure they overcome them prior to investing any resources to evaluating AI.

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Why is AI so prevalent in radiology?

Some might wonder why there has been such a sudden avalanche of AI algorithms in radiology. With the recent IT advancements that have allowed Machine Learning tools to be more accessible, and affordable, and radiology being one-of if not, the most data rich departments in healthcare, it’s no surpris

< 1 minute read

AIMed Champions Connect Q2 Report

This research project sought to assess the extent to which artificial intelligence (AI) is being deployed at a population health level

< 1 minute read

AI in breast cancer screening

Breast cancer is the most frequently diagnosed cancer among women, impacting 2.1 million women worldwide each year and causing the greatest number of cancer-related deaths amongst women. It is estimated that 627,000 women died from breast cancer in 2018, approximately 15% of all cancer-related femal

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