AI Solution for Breast Lesion Detection
1st
Breast cancer is the most common cancer worldwide
Source: World Health Organization, International Agency for Research on Cancer, American Cancer Society
1 in 8
1 in 8 women in USA diagnosed with invasive breast cancer in their lifetime
Source: American Cancer Society, National Cancer Institute
2.3 million
Globally, approximately 2.3 million new breast cancer cases diagnosed every year
Source: World Health Organization, American Cancer Society
50%
Up to 50% of breast cancers are missed in women with dense breast tissue using standard imaging alone
Source: American Cancer Society, National Cancer Institute, Breast Cancer Surveillance Consortium
Faster, Smarter Breast Ultrasound AI
Real-Time Lesion Flagging
AI detects and highlights suspicious areas during scanning.
1
2
BI-RADS Based Guidance
Supports early screening with consistent, structured analysis.
3
Automated Report Generation
Generates DICOM-ready reports for quick review and export.
Key Features
Built-in BI-RADS Lexicons
Applies standardized BI-RADS terms for clear, consistent risk assessment and reporting.
Color-coded Lesion Highlights
Displays lesion traits like margin, texture, and echogenicity using proprietary visualization.
