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 Model Accurately Predicts Blood Loss Risk in Liposuction
A machine learning model predicts blood loss during high-volume liposuction with 94% accuracy.
•EurekAlert
AI-Driven CT Tool Predicts Cancer Spread in Oropharyngeal Tumors
Researchers have created an AI tool that uses CT imaging to predict the spread risk of oropharyngeal cancer, offering improved treatment stratification.
•EurekAlert
AI Model PRTS Predicts Spatial Transcriptomics From H&E Histology Images
Researchers developed PRTS, a deep learning model that infers single-cell spatial transcriptomics from standard H&E-stained tissue images.