Back to all news
AI-Powered Photoacoustic and Ultrasound System Enables Rapid, Painless Breast Imaging
A new imaging system combines photoacoustic and ultrasound methods for sub-minute, pain-free 3D breast scans powered by artificial intelligence.
Key Details
- 1The OneTouch-PAT system takes less than one minute per scan and does not require breast compression.
- 2It combines automated photoacoustic and ultrasound imaging in the same standing position.
- 3In tests on 61 breast cancer patients and 4 healthy volunteers, it generated clear 3D images identifying common cancer subtypes.
- 4Deep learning algorithms improve image clarity, aiding detection of unique vascular patterns by cancer subtype.
- 5The technology could be particularly helpful for women with dense breast tissue, enhancing lesion detection and subtype differentiation.
- 6Further validation studies are planned to include benign lesions and improve system performance.
Why It Matters
This system could significantly improve patient comfort and diagnostic accuracy in breast cancer screening, especially for populations where mammography is limited. The integration of AI in automated, multimodal imaging addresses key challenges in early, precise detection and workflow efficiency.
Source
EurekAlert
Related News
•EurekAlert
AI Predicts Risks for Outpatient Stem Cell Therapy in Myeloma
Researchers use machine learning to predict adverse events during stem cell therapy for multiple myeloma, improving outpatient safety.
•EurekAlert
USC Unveils Joint Biomedical Engineering Department Bridging Medicine, Engineering, and Imaging
USC's medical and engineering schools launch a joint biomedical engineering department to accelerate interdisciplinary research and innovation, including imaging and AI.
•EurekAlert
AI-Enhanced CT Heart Fat Measurement Boosts Cardiovascular Risk Prediction
AI-derived measurement of heart fat from CT scans significantly improves long-term cardiovascular disease risk prediction.