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Yulei Jiang is an Associate Professor at the University of Chicago, specializing in biomedical imaging and computational analysis. His research focuses on the development of computer-aided diagnostic tools to improve the precision of medical image interpretation. He has led multiple NIH-funded projects applying advanced statistical methods and artificial intelligence to enhance diagnostic accuracy in radiology. Jiang's work emphasizes the integration of histopathological image analysis, machine learning algorithms, and volumetric staging systems in oncology. He has a significant publication record that includes innovative approaches to breast cancer and prostate cancer diagnostics, contributing to the fields of medical imaging and health informatics.
University of Chicago • Chicago, IL
Conduct research and teach courses in the field of radiology and biomedical imaging.
Department of Philosophy