DeepHealth's AI breast ultrasound software receives FDA clearance, promising improved lesion detection and workflow.
Key Details
- 1DeepHealth Breast Ultrasound AI achieves FDA 510(k) clearance.
- 2The software automates detection, characterization, and reporting of breast lesions.
- 3Validated at over 98% localization accuracy for breast lesions.
- 4Reported 8% increase in sensitivity for breast cancer detection.
- 5Radiologist interpretation time reduced by 37%.
- 6Product to be rolled out across RadNet's imaging centers by year-end.
Why It Matters
This clearance brings a validated AI tool into the clinical workflow, enhancing detection accuracy and efficiency in breast ultrasound exams. Adoption may improve patient outcomes and reduce radiologist workload.
Source
AuntMinnie
Related News
•Radiology Business
UCLA Review Evaluates Breast AI for Early Cancer Detection
A UCLA-led review analyzes current evidence for AI tools in screening mammography, focusing on their capability to detect interval cancers.
•Radiology Business
Vara's AI Gains World's First Approval for Radiologist-Free Mammogram Triage
Vara has secured the world's first regulatory approval for an AI tool that autonomously classifies certain mammograms as normal, bypassing radiologist review.
•AuntMinnie
AI Tool Cuts Radiologist Reporting Time for Chest CTs by 15%
Real-world study finds commercial AI for pulmonary nodule detection reduces chest CT reporting times by nearly 15%.