Computer Vision News Computer Vision News 34 inner workings of deep neural networks and AI systems. “Once you have multiple participants, you can do many different comparisons,” he tells us. “They’re on the same playing field competing, and we can do some secondary analysis and understand what’s going on.” The spectrum of pneumonia severity is broad, and the challenge dataset reflects this diversity. It could be argued that for very severe cases, AI is unnecessary because the answer is obvious. Still, most fall into the more subtle range, where AI could significantly assist in diagnosing cases that radiologists can easily overlook. “We’re developing these AI systems to try to improve the diagnostic abilities of physicians because AI is not on its own,” Lubomir adds. “It’s a helping tool to the physician. We hope the AI can Grand Challenge - Medical Imaging
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