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Samuel G. Armato is a Professor in the Department of Radiology at the University of Chicago, where he also chairs the Radiology Committee and Medical Physics Committee. He has an extensive career with a focus on the use of artificial intelligence in medical imaging, particularly in chest radiography and computed tomography. His research interests include computer vision, computer-aided diagnosis, imaging physics, lung cancer, lung imaging, and medical physics. Armato's work has led to significant developments in the evaluation of lung nodules and image quality in thoracic imaging. He has been the principal investigator for the Lung Image Database Consortium project, which spanned a decade, and he is the faculty director of the University of Chicago’s Human Imaging Research Office. He has published numerous important papers in the field of medical imaging and his contributions are recognized globally, especially in the context of COVID-19 assessments. Armato has received multiple accolades for his research and teaching, held fellowships in prestigious societies, and actively participates in interdisciplinary image-based projects.
University of Chicago • Chicago, IL
Professor in the Department of Radiology, involved in research and academic activities, focusing on artificial intelligence and medical imaging.
Department of Philosophy