Compared to standard machine learning models, deep learning models are largely superior at discerning patterns and discriminative features in brain imaging, despite being more complex in their architecture.
Artificial intelligence and a simple eye exam could provide early diagnosis of Parkinson’s disease, according to research being presented at the virtual annual meeting of the Radiological Society of North America.
Machine learning is helping Penn Medicine researchers identify the size and shape of brain networks in individual children, which may be useful for understanding psychiatric disorders.
AI will automate some functions to help make radiologists more efficient and give them the freedom to focus on other aspects of their jobs, perhaps even to discover additional conditions that were previously undiagnosed
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The patent allows Thirona to develop an AI algorithm that will analyze CT scans to identify even the smallest abnormalities in the lungs.
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The Unifier enterprise imaging platform for medical imaging workflow, archiving, cloud, and AI enablement, is available in the Microsoft Azure Marketplace.
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A research team led by UT Southwestern scientists has shown that a machine learning program can predict, more accurately than doctors, which babies and children are most likely to suffer brain injury after extracorporeal membrane oxygenation.
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A University of Central Florida researcher is part of a new study showing that artificial intelligence can be nearly as accurate as a physician in diagnosing COVID-19 in the lungs.
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