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Yulei Jiang is an Associate Professor in the Department of Radiology at the University of Chicago. His research interests primarily focus on the application of artificial intelligence in medical imaging, specifically in improving diagnostic accuracy in breast MRI. He has contributed to numerous studies evaluating various imaging techniques, such as Quantitative Transmission Ultrasound and Digital Breast Tomosynthesis, for their effectiveness in detecting breast lesions. Dr. Jiang has also worked on quantitative risk mapping for prostate cancer diagnosis using MRI. His publications in recognized journals like Academic Radiology and Radiology highlight his expertise in receiver operating characteristic analysis and the implications of technology in oncology imaging. Throughout his academic career, he has been involved in multicase and multireader studies aimed at assessing the noninferiority of advanced imaging modalities. Dr. Jiang's work is instrumental in advancing the standards of image analysis and interpretation in the field of radiology, particularly in addressing the challenges faced in evaluating complex medical conditions.
Department of Philosophy