33 Computer Vision News Computer Vision News Chest x-Ray: identify and explain AI’s predictions better treatment. That’s the ultimate goal!” Participants in the challenge will develop and train AI models that predict, on a pixel-by-pixel basis, the probability that any given chest radiograph shows signs of pneumonia. “We’ll compare the participants’ output probabilities with expert annotations,” Sam explains. “We had three radiologists outlining the regions of disease that they saw in those images, and that’s the comparison we’ll make against the output of the participants’ methods.” However, the challenge is not without its obstacles as existing methods of improving AI’s explainability are imperfect. “There are existing techniques out there, like Grad-CAM, but they’re actually not very good,” Karen adds. “They don’t explain much of anything!” One of the additional targets of this challenge is to understand what the limits are at this point in time and to explore new, improved methods that can better achieve that goal. Lubomir notes that the challenge requires delving deeper than participants usually would into the
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