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Paul J. Chang, MD is a Professor in the Biological Sciences Division at the University of Chicago, specializing in radiology and imaging informatics. With a medical degree from Stanford University and a strong background in engineering, Dr. Chang's research interests include clinical informatics, machine learning in medical imaging, and the development of interoperable imaging informatics solutions. His work has significantly impacted imaging technology, including contributions to the development of a novel lossless wavelet-based image distribution mechanism utilized widely in PACS systems. Dr. Chang's current informatics initiatives focus on building robust clinical research applications through SOA-based Enterprise Service Bus technologies and a 'closed loop imaging' infrastructure to improve imaging efficiencies and quality of care. Recognized as a leader in his field, he has received several awards, including the Gold Medal from the Radiological Society of North America in 2016 and multiple accolades for his contributions to clinical papers and scientific exhibits. He aims to leverage advanced analytics and machine learning techniques to enhance clinical workflows and patient outcomes in radiology.
University of Chicago • Chicago, IL
Professor in the Department of Biological Sciences, focusing on Radiology and Informatics.
Department of Philosophy