AI Can Detect Heart Disease in Women From Mammograms, Study Finds
Translated & summarized from Maariv by baba
A new study from Sheba Medical Center shows an AI algorithm can detect early signs of heart disease, hypertension, and stroke in women from standard mammogram images. The research analyzed data from 30,000 women and could lead to earlier detection of cardiovascular risks.
The story in 5 lines · by baba
- AI can detect heart disease from mammograms, a new study shows.
- The AI identified risks for ischemic heart disease, hypertension, and stroke.
- The research involved data from approximately 30,000 women.
- The findings will be presented at Sheba's ARC Summit in October 2026.
- The technology aims to extract more health data from existing tests.
A new study conducted at Sheba Medical Center has demonstrated that an artificial intelligence algorithm can identify early signs of heart disease in women using routine mammogram images. The research analyzed data from approximately 30,000 women, revealing the AI's capability to extract information related to ischemic heart disease, hypertension, and stroke without requiring additional imaging.
Dr. Vianna Kopel, a doctor and researcher at Sheba's Heart and Vascular Center, stated that the goal is to leverage existing tests women already undergo to gain more medical insights. "If we can identify signs from mammography that may indicate cardiovascular risk, we could potentially help in earlier detection of women who need further investigation in the future," she explained. While acknowledging that the technology is still in the research and development phase, requiring further validation, Dr. Kopel highlighted its potential to transform a standard test into a broader source of information on women's health.
The findings and other advancements in AI and digital health will be presented at Sheba's annual ARC Summit innovation conference, scheduled to take place from October 20-22, 2026. This conference will convene global leaders from healthcare systems, technology companies, investors, entrepreneurs, and academics to discuss new technologies and models shaping the future of medicine.