AsymMirai: Interpretable Mammography-based Deep Learning Model for 1–5-year Breast Cancer Risk Prediction
- 1 March 2024
- journal article
- research article
- Published by Radiological Society of North America (RSNA) in Radiology
- Vol. 310 (3) , e232780
Abstract
Using bilateral dissimilarity as a mammography marker of near-term breast cancer risk, AsymMirai, a simplified deep learning bilateral dissimilarity–based model, performed similarly to the state-of... Background Mirai, a state-of-the-art deep learning–based algorithm for predicting short-term breast cancer risk, outperforms standard clinical risk models. However, Mirai is a black box, risking ov...Keywords
Funding Information
- National Science Foundation (grant HRD-2222336)
This publication has 18 references indexed in Scilit:
- On instabilities of deep learning in image reconstruction and the potential costs of AIProceedings of the National Academy of Sciences, 2020
- Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety StatementCanadian Association of Radiologists Journal, 2019
- Stop explaining black box machine learning models for high stakes decisions and use interpretable models insteadNature Machine Intelligence, 2019
- BOADICEA: a comprehensive breast cancer risk prediction model incorporating genetic and nongenetic risk factorsGenetics in Medicine, 2019
- Association Between Changes in Mammographic Image Features and Risk for Near-Term Breast Cancer DevelopmentIEEE Transactions on Medical Imaging, 2016
- Prediction of near-term risk of developing breast cancer using computerized features from bilateral mammogramsComputerized Medical Imaging and Graphics, 2014
- Prediction of Near-term Breast Cancer Risk Based on Bilateral Mammographic Feature AsymmetryAcademic Radiology, 2013
- Meta‐analyses of the effect of false‐positive mammograms on generic and specific psychosocial outcomesPsycho-Oncology, 2010
- A breast cancer prediction model incorporating familial and personal risk factorsStatistics in Medicine, 2004
- Projecting Individualized Probabilities of Developing Breast Cancer for White Females Who Are Being Examined AnnuallyJNCI: Journal of the National Cancer Institute, 1989