Radiating Hope: Radiology Department Blog


Radiology’s Dr. Jonathan Dillman Granted the Clinical/Translational Research Achievement Award

Post Date: March 6, 2024
Radiology’s Dr. Jonathan Dillman Granted the Clinical/Translational Research Achievement Award

On February 9, 2024, Cincinnati Children’s hosted its thirteenth annual Faculty Awards ceremony honoring the exceptional individuals who embody the heart and soul of our organization. These awardees stand as a testament to the vital role they play across clinical, research, education, and advocacy realms, shaping the very fabric of our institution. Their unwavering dedication and expertise significantly contribute to the well-being of our patients and the continued success of our organization. Nominated by their esteemed peers and meticulously selected by a committee comprised of previous awardees, this year saw a remarkable pool of 70 nominees. These individuals are not just faculty members—they are extraordinary people committed to doing extraordinary things for children, both within our community and beyond, making a profound impact on our entire world.

Our own Dr. Jonathan Dillman was awarded the Senior Clinical/Translational Research Achievement Award at the event. Dr. Brian Coley, radiologist-in-chief, introduced Dr. Dillman when it was his time on stage.

Here is an excerpt from the awards brochure given out at the ceremony.


Jonathan Dillman, MD, MSc

Department of Radiology

Jonathan Dillman, MD, MSc, is the medical director of the Imaging Research Center and associate chief of research for the Department of Radiology, where he oversees basic science activities of PhD students and secures extramural funding.

Dr. Dillman’s research, supported by $4.5M in active extramural funding from foundation and NIH grants, is changing the way we image and understand pediatric diseases, thus impacting care around the world. His research focuses on abdominal imaging, especially liver, inflammatory bowel and renal diseases. He works to develop imaging biomarkers to bring greater disease-specific sensitivity and specificity to imaging.

In collaboration with the Mayo Clinic, Dr. Dillman was the first to employ MRI techniques to evaluate liver stiffness, a technique that is now standard practice. He is currently researching the role of artificial intelligence and machine learning, combining multi-model patient data with imaging data to help diagnose disease and predict developmental and treatment outcomes. Dr. Dillman is a renowned imaging research expert. He’s the recipient of multiple awards for research excellence and was recently named to the Academy for Radiology and Biomedical Imaging Research’s Council of Distinguished Investigators.

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About the author: Glenn Miñano

Glenn Miñano is a media specialist in the Department of Radiology, providing graphic design, photography, printing, video services, and administration of the department’s online properties. His works have been published in several medical articles, such as the American Journal of Radiology and the American Institute of Ultrasound. He has been providing these services to the Radiology Department since 1996.

About the editor: Meredith Towbin

Meredith Towbin is a freelance copy editor and writer. She has copyedited the Department of Radiology’s blog since it launched. She also works as a copy editor for the home improvement website BobVila.com. Her writing has been featured on HuffPost as well as other writing sites.