AI in Radiology: Experiences from Model Development to Clinical Implementation

Dr. Katherine P. Andriole has been involved in Radiological Imaging Informatics for more than 30 years. She studied Biomedical Engineering at Duke University and Electrical Engineering and Medicine at Yale University where her PhD research was in classical machine learning. She completed fellowships in the Departments of Radiology at UCLA and UCSF where she was involved in building picture archiving and communication systems (PACS) before they became commercial entities.

 
Currently, Dr. Andriole is faculty in the Department of Radiology at Brigham and Women's Hospital, Harvard Medical School and Director of Academic Research and Education at Mass General Brigham AI. Dr. Andriole is a passionate educator mentoring more than 110 trainees and her research has involved technical as well as clinically-relevant developments in medical imaging informatics and machine learning. Dr. Andriole has served in multiple leadership roles for the Radiological Society of North America (RSNA), the American College of Radiology (ACR), the Society for Imaging Informatics in Medicine (SIIM), the Society for Photo-optical Instrumentation Engineers (SPIE), and the Academy for Radiology and Biomedical Imaging Research (ARBIR). She is a Fellow of the ACR, a Fellow of SIIM, and a Fellow of SPIE. Dr. Andriole has received the RSNA Lifetime Honored Educator Award, the Gold Medal of SIIM, the RSNA Gold Medal, and the inaugural RADxx Trailblazer Award recognizing a pioneering woman leader in Imaging Informatics.