Artificial intelligence (AI) for computer vision is growing in popularity and usefulness every day. In areas like healthcare, AI for medical imaging will save millions of lives in the coming decades. But it's still difficult to know how to get started, especially if you don't have access to large computing resources or data sets. Recently, Google Health AI published research and released a tool called CXR Foundation to help you get started creating machine learning models for disease detection on chest x-rays (CXRs), more than a billion of which are created every year . With CXR Foundation we showed that it is possible to train models that can diagnose tuberculosis or predict the severity of COVID-19 with just a few hundred images. How does the CXR Foundation work? In this tech talk we explain the research we did to create the model and walk through the code to train your own model!

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David J Malan
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