December 22, 2025
ISP PhD Student Zhengbo Zhou received the Magna Cum Laude Science Poster Award for his paper “Long Range History of Prior Mammograms for Breast Cancer Risk Prediction” at the 111th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA).
“Receiving the Magna Cum Laude Poster Award at RSNA 2025 is a great honor and very meaningful to me,” Zhou said. “RSNA is one of the most influential conferences in radiology, and this recognition validates both the technical rigor and the clinical relevance of my work.”
The RSNA, a non-profit organization and an international society of radiologists, medical physicists and other medical imaging professionals, hosts the world’s largest medical imaging conference, with about 50,000 attendees. Zhou’s poster was selected by RSNA Science Council reviewers out of 168 posters to receive one of three Magna Cum Laude awards.
In his research, Zhou studies how vision-language models and machine learning can better analyze complex imaging data to support cancer diagnosis and risk prediction. A key aspect of his research is designing models that can leverage longitudinal imaging (images acquired over time) and that can be integrated with clinically meaningful information.
“In the long term, my goal is for these methods to assist radiologists in earlier and more accurate risk assessment, reduce unnecessary procedures, and support personalized screening and treatment decisions,” Zhou said. “More broadly, I hope this work helps shape how AI is responsibly integrated into healthcare, emphasizing collaboration between clinicians and AI rather than replacement, and ultimately improving patient outcomes.”
Join us in congratulating Zhou on this achievement!