NEW YORK and CHICAGO, Dec. 4, 2019 /PRNewswire/ -- RSNA -- RAD Women (#RADxx), a networking group for the advancement of women in imaging informatics, today announced the winners of the 3rd annual RADxx Awards. Winners and honorable mentions of the RADxx Trailblazer, Advocate, Champion, and Rising Star Awards were unveiled at a cocktail reception sponsored by Ambra Health during the annual RSNA conference. Over 365 individuals were in attendance to support the movement. The outstanding individuals who have helped to lead the way for women in medical imaging informatics are as follows.
RADxx Trailblazer: Charlene Tomaselli
Charlene is currently the Director of Medical Imaging Information Technology at Johns Hopkins Medicine. As the director of medical imaging information technology, Charlene manages a team that implements and supports all the radiology applications that are used in radiology for five hospitals and four freestanding imaging centers.
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RADxx Advocate: Dr. Anant Madabhushi
Dr. Anant Madabhushi is Director of the Center for Computational Imaging and Personalized Diagnostics (CCIPD); F. Alex Nason Professor II, Department of Biomedical Engineering; and on faculty in the Departments of Pathology, Radiology, Radiation Oncology, Urology, General Medical Sciences, and Electrical Engineering and Computer Science at Case Western Reserve University.
RADxx Champion: Dr. Agnieszka Solberg
Dr. Solberg is a Vascular and Interventional radiologist who passionately advocates for women, particularly women in radiology/informatics. Having served 14 years in the US Army, she continues to serve others by creating a group for over 3,000 women radiologists and providing them with valuable resources to navigate through the struggles of being a woman in a male-dominant field. Board-certified by the ABIM, ABNM, and ABR, she actively practices as an Interventional Radiologist and Clinical Assistant Professor at UND.
Rising Star: Dr. Michelle Bardis
As a former NASA electrical engineer at the Jet Propulsion Laboratory, Dr. Bardis is using her mathematical and programming skills to analyze a new type of data - medical images. Her signal processing skills are now being used to solve problems looking at matrices that represent anatomical data instead of space communication data. She plans to build her medical knowledge as a radiology resident and combines it with her technical skills for developing better tools for medical image analysis. She envisions that AI will transform radiology, and her eventual goal is to become a principal investigator and leader in this specialty.