Maryellen L. Giger, Ph.D. will present The Role of MIDRC in Medical Imaging AI on October 11, 2024, from 12:00 p.m.–1:00p.m. EDT.
About the Seminar
Artificial intelligence (AI) in medical imaging involves research in task-based discovery, predictive modeling, robust clinical translation, and patient engagement. Quantitative radiomic analyses and deep networks are yielding novel image-based tumor characterizations (i.e., signatures that may ultimately contribute to the design of patient-specific diagnostics and treatments). To enable the development of trustworthy AI, however, curated, diverse, and reusable data is needed. This presentation will discuss the role of the Medical Imaging and Data Resource Center (MIDRC) (midrc.org; data.midrc.org) in medical imaging AI, with a specific focus on curated real-world data, representative data, validation methods and sequestered data, understanding of potential biases, and sustainability. The open data and open resources of MIDRC will be described, eventually leading to their impact on clinical AI and patient care.
About the Speaker
Maryellen Giger, Ph.D., is the A.N. Pritzker Distinguished Service Professor of Radiology, Committee on Medical Physics, and the College at The University of Chicago. Her AI research related to risk assessment, diagnosis, prognosis, and therapeutic response in cancer, neuroimaging, COVID-19, and other diseases has yielded various translated components, including “virtual biopsies” in imaging-genomics association studies. She is the contact principal investigator on the NIBIB-funded MIDRC, which has ingested more than 500,000 medical imaging studies and currently has more than 175,000 imaging studies publicly available for use by AI investigators. In 2023, MIDRC was selected as an initial performer in ARPA-H and received the 2023 DataWorks Prize (FASEB and NIH Office of Data Science Strategy: Distinguished Achievement Award, “MIDRC – Sharable Curated Diverse Medical Images at Scale”). Giger has more than 280 peer-reviewed publications and has more than 30 patents, and has mentored over 100 graduate students, residents, medical students, and undergraduate students. Giger is a former president of AAPM and SPIE, a past member of the NIBIB Advisory Council of NIH, and past editor-in-chief of the Journal of Medical Imaging (2013-2023); a member of the National Academy of Engineering; a recipient of the AAPM William D. Coolidge Gold Medal, the SPIE Director’s Award, the SPIE Harrison H. Barrett Award in Medical Imaging, the RSNA’s Honored Educator Award, and the RSNA’s Outstanding Researcher Award; and a Fellow of AAPM, AIMBE, SPIE, SBMR, IEEE, IAMBE, and COS. In 2013, Giger was named by the International Congress on Medical Physics as one of 50 medical physicists with the most impact on the field in the last 50 years. Giger was a cofounder of Quantitative Insights (QI), Inc., which started through the 2009–2010 New Venture Challenge at The University of Chicago. QI produced QuantX, which in 2017, became the first FDA-cleared, machine learning–driven system to aid in cancer diagnosis. In 2019, QuantX was named one of Time magazine’s inventions of the year and was bought by Qlarity Imaging.
https://profiles.uchicago.edu/profiles/display/37081
About the Seminar Series
The seminar is open to the public and registration is required each month. Individuals who need interpreting services and/or other reasonable accommodations to participate in this event should contact Janiya Peters at 301-670-4990. Requests should be made at least five days in advance of the event.
The National Institutes of Health (NIH) Office of Data Science Strategy hosts this seminar series to highlight exemplars of data sharing and reuse on the second Friday of each month at noon ET. The monthly series highlights researchers who have taken existing data and found clever ways to reuse the data or generate new findings. A different NIH institute or center will also share its data science activities each month.
