Recent research published in the European Heart Journal indicates that artificial intelligence (AI) can effectively predict the risk of serious or fatal heart disease by analyzing mammograms.

The study highlights the following key points:

• AI can evaluate the accumulation of calcium deposits in breast arteries using standard X-ray mammography scans.
• This method could assist in identifying women who are undiagnosed and untreated for cardiovascular disease.
• The research was led by Dr. Hari Trivedi from Emory University, Atlanta, USA.

Study Overview

The study involved 123,762 women who participated in breast cancer screening and had no known cardiovascular disease. AI was utilized to analyze the level of calcium deposits in breast tissue, categorized as:

1. Severe
2. Moderate
3. Mild
4. Absent

The findings revealed that:

• Women with mild calcification had a 30% increased risk of serious cardiovascular disease.
• Those with moderate calcification faced a risk increase of over 70%.
• Women with severe calcification had a risk that was two to three times higher.

Implications for Women’s Health

Dr. Trivedi emphasized that the presence of calcium in breast arteries on mammograms correlates with a higher risk of serious heart events, even in younger women under 50. This study is significant as it covers diverse populations across two major US health systems.

The research suggests that integrating this AI analysis into existing mammography programs could potentially reach millions of women without additional costs or infrastructure.

Future Directions

The next steps include planning a clinical trial to test the integration of this AI tool into current imaging workflows and establishing guidelines for patient and clinician notifications.

In an editorial accompanying the study, Professor Lori B. Daniels from the University of California, San Diego, noted that leveraging mammograms for cardiovascular risk assessment could significantly enhance preventive care for women.