RSNA 2022 Gold Medalist

Katherine P. Andriole, PhD

Katherine Andriole PhD

A leading expert in radiological imaging informatics, Katherine P. Andriole, PhD,  holds a long-standing interest in using concepts from computer science, engineering and data science to advance medical research, augment medical education and ultimately improve clinical care.

“I have known Dr. Andriole for nearly  40 years since we were students together at Yale and more recently in our mutual involvement with RSNA,” said RSNA President Bruce Haffty, MD. “I have long been impressed with Kathy’s contributions in AI and informatics that have clearly benefited RSNA, the field of radiology and most importantly the patients we serve. She is most deserving of RSNA’s Gold Medal award.”

Dr. Andriole majored in biomedical engineering at Duke University where she was an Angier B. Duke Scholar, studying twentieth century English literature at Oxford University. She studied electrical engineering and medicine at Yale University where her PhD research was in classical machine learning. She completed postdoctoral fellowships at the University of California at Los Angeles and the University of California at San Francisco (UCSF) departments of radiology. At UCSF, Dr. Andriole was instrumental in designing, building, implementing, and evaluating picture archiving and communication systems (PACS) before they became commercial entities. She was one of the early adopters of Computed Radiography (CR) using CR for the first time in newborns including premature infants.

Dr. Andriole is currently an associate professor of radiology at Harvard Medical School, Brigham and Women’s Hospital  and the director of academic research and education at the Mass General Brigham Data Science Office. Her research has involved technical as well as clinically relevant developments in medical imaging informatics, data analytics and machine learning. A passionate educator, she has developed and taught multiple formal courses, directed fellowships in biomedical imaging and informatics, and mentored more than 90 trainees. She is co-developer and co-director of the National Imaging Informatics Course.

Dr. Andriole has served in multiple leadership roles for the Society for Imaging Informatics in Medicine (SIIM), is the senior scientist for education at the American College of Radiology (ACR) Data Science Institute and serves on the executive board of the Academy for Radiology and Biomedical Imaging Research. She has served on several NIH grant review study sections including Biomedical Computing and Healthcare Informatics and Big Data-to-Knowledge.

She is an editorial board member of the Journal of Digital Imaging and is an associate editor for the Journal of Medical Imaging and for Radiology: Artificial Intelligence. A long-standing member of the RSNA Radiology Informatics Committee, Dr.  Andriole currently serves on the RSNA Machine Learning Steering and Data Standards sub-committees. She is a faculty member for the RSNA Imaging AI Certificate Program, a subject matter expert for the R&E Foundation’s Grant Oversight Committee and serves as co-director of the Imaging AI in Practice Demonstration. Dr. Andriole has given 104 RSNA education courses including hands-on sessions.

Among her many accolades, Dr. Andriole was named a senior member of the International Society for Photo-Optical Instrumentation Engineers, elected a member of the Academy of Harvard Medical School, and inducted into the College of SIIM Fellows and the Fellowship of the ACR. She was named third (2015) and second (2018) vice president of RSNA. Dr. Andriole has received the RSNA Honored Educator Award multiple times, and the SIIM gold medal. She was inducted into her hometown Sports Hall of Fame for swimming, track and field, and cross country, and received the inaugural RADxx Trailblazer Award recognizing a pioneering woman leader in imaging informatics.