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-Powered OCT Enables Rapid 'Optical Biopsy' for Early Endometrial Cancer Detection
A team at Washington University has developed a catheter-based 3D OCT system with AI to quickly and noninvasively detect early endometrial cancers.
•EurekAlert
AI Clinical Reasoning in Diagnostics and Digital Fatigue in Healthcare
Recent JMIR features explore large language models in clinical diagnostics and digital fatigue among healthcare professionals.
•EurekAlert
KAIST, MIT, Microsoft Develop Efficient AI Image Upsampling for Robotics
KAIST, MIT, and Microsoft have created 'Upsample Anything,' a training-free AI method to restore high-resolution visual data from compressed images with up to 16x improved GPU memory efficiency.