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
UVA's $4M NIH Grant Backs AI to Optimize Cardiac MRI Therapies
UVA secures $4 million NIH funding to develop GenStrain, an AI model using MRI data to personalize cardiac pacing therapies.
•EurekAlert
Machine Learning Models Predict Cancer Risk with Routine Health Data
Researchers developed machine learning models using routinely collected health data to predict individual risk for 20 common cancers, outperforming traditional methods for several cancer types.
•EurekAlert
Duke Receives $25M to Lead National Trustworthy AI Hub for Dementia and Aging
Duke University has launched a $25 million national center to make AI for aging and dementia clinically robust and trustworthy.