Measurement of breast artery calcification using an artificial intelligence detection model and its association with major adverse cardiovascular events.
Breast artery calcification (BAC) obtained from standard mammographic images is currently under evaluation to stratify risk of major adverse cardiovascular events in women. Measuring BAC using artificial intelligence (AI) technology, we aimed to determine the relationship between BAC and coronary ar...
Saved in:
Main Authors: | Suzanne J Rose, Josette Hartnett, Zachary J Estep, Daniyal Ameen, Shweta Karki, Edward Schuster, Rebecca B Newman, David H Hsi |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2024-12-01
|
Series: | PLOS Digital Health |
Online Access: | https://doi.org/10.1371/journal.pdig.0000698 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A multitask deep learning model utilizing electrocardiograms for major cardiovascular adverse events prediction
by: Ching-Heng Lin, et al.
Published: (2025-01-01) -
Construction and Comparison of Machine Learning-Based Risk Prediction Models for Major Adverse Cardiovascular Events in Perimenopausal Women
by: Chen A, et al.
Published: (2025-01-01) -
Triglyceride to high density lipoprotein cholesterol ratio and major adverse cardiovascular events in ACS patients undergoing PCI
by: Shangxun Zhou, et al.
Published: (2024-12-01) -
Occurrence and Impact of Gastrointestinal Bleeding and Major Adverse Cardiovascular Events during Sepsis: A 15-Year Observational Study
by: Ming-Shun Hsieh, et al.
Published: (2020-01-01) -
Effect of Statins on Major Adverse Cardiovascular Events in Patients with Coronary Artery Spasm: A Meta-Analysis of the Asia Region
by: Tian-Jun Zhao, et al.
Published: (2023-01-01)