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Automated AI Pipeline for Interpretable Longitudinal Mammography Analysis is sponsored by The Fund for Innovation in Cancer Informatics (University of Texas Foundation). This project proposes to develop an AI-based cancer detection pipeline to automatize longitudinal mammogram analysis by integrating multi-modal screening information.
It aims to demonstrate interpretable characterization of temporal changes in breast tissue and findings, addressing limitations of current AI models in generalizability and clinical utility for mammogram-based cancer detection.
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Or search similar grants →According to the current listing, eligibility includes: University researchers (Drs. Wu and Weaver were recipients for Spring 2025). Confirm the full requirements in the official notice before applying.
Automated AI Pipeline for Interpretable Longitudinal Mammography Analysis is funded by The Fund for Innovation in Cancer Informatics (University of Texas Foundation). Verify program details on the funder's official page before applying.
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