Clairity to showcase groundbreaking AI research in breast cancer risk prediction at RSNA 2025
Clairity Inc. announced its participation in RSNA 2025, presenting five studies on its FDA-approved image-only AI model for 5-year breast cancer risk prediction, emphasizing international collaboration and multi-center validation.
The studies highlight Clairity’s groundbreaking approach to estimating 5-year breast cancer risk from a single screening mammogram.
Selected RSNA abstracts include first-author contributions from Dr. Christiane Kuhl (Chair of Radiology, RWTH Aachen University) and Dr. Elizabeth Morris (Chair of Radiology, UC Davis), reflecting collaboration across leading U.S. and European screening programs. Presentations will be delivered by Clairity Founder Dr. Connie Lehman, and international experts in breast imaging, with findings drawn from multi-center studies in the U.S. and Europe.
Key highlights of Clairity’s participation at RSNA 2025 include:
“Predicting Future Risk of DCIS and Invasive Breast Cancer Using AI: A Multi-Site Study in U.S. and European Screening Programs” Sunday, Nov. 30, 11:45am CST
“External Validation of Discrimination and Calibration of an Image-Only AI Model for 5-Year Breast Cancer Risk Prediction Across Geographically Diverse Screening Sites” Sunday, Nov. 30, 2:30pm CST
“Image-Only AI Model Compared with Breast Density for Identifying Women at 5-Year Increased Risk of Breast Cancer: Multicenter U.S.-European Analysis” Sunday, Nov. 30, 2:30pm CST
“Targeted Risk Stratification in Women Under 50 Using an Image-Only AI Model: Addressing the Rise in Breast Cancer Incidence in Younger Women” Tuesday, Dec. 2, 12:45pm CST
“Unlocking the Full Value of the Mammogram: Using AI-Based Risk Scores to Detect Cancer, Identify Missed Cancers, and Predict Future Risk” Tuesday, Dec. 2, 3:15pm CST
“Real World Application: Where Are We Heading?” Monday, Dec. 1, 1:30-2:30pm CST
“Do Deep Learning Breast Cancer Risk Scores Change Meaningfully Over Time? A Longitudinal Analysis” Monday, Dec. 1, 3:00pm CT
