School of Medicine


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  • Curtis Langlotz

    Curtis Langlotz

    Professor of Radiology (Thoracic Imaging), of Biomedical Informatics Research and of Biomedical Data Science

    Current Research and Scholarly InterestsI am interested in the use of deep neural networks and other machine learning technologies to help radiologists detect disease and eliminate diagnostic errors. My laboratory is developing deep neural networks that detect and classify disease on medical images. We also develop natural language processing methods that use the narrative radiology report to create large annotated image training sets for supervised machine learning experiments.