Join leading healthcare institutions in validating breakthrough AI technology that analyzes ultrasound images and generates detailed medical reports in seconds.
5-10s
87-92%
89-94%
$0
An AI-powered assistant that analyzes breast ultrasound images and generates detailed medical reports in seconds. Think of it as a "second pair of eyes" that helps radiologists review ultrasound images more efficiently and consistently.
Current Status
Research & Development Phase
Regulatory Status
Research Use Only
Partnership Benefit
Free System + Support
Breast cancer is the 2nd leading cause of cancer death in women globally. Radiologists review hundreds of ultrasound images daily, which is time-consuming, mentally exhausting, and subject to human variability. Early detection saves lives, but the current screening process has challenges:
Radiologists analyze hundreds of images daily, leading to fatigue and potential oversights
Many regions lack specialized radiologists, causing delays in diagnosis
Inter-observer variability leads to inconsistent interpretations
15-20 minutes per exam plus extensive report writing
We've developed a sophisticated AI system that works like a radiologist's assistant, providing fast, consistent, and detailed analysis to support clinical decision-making.
Our AI system uses three specialized models working together to provide comprehensive analysis:
Attention U-Net analyzes the entire ultrasound image pixel-by-pixel to identify and highlight regions of interest (ROI). Like a radiologist drawing circles around suspicious areas.
Output: Binary mask highlighting potential lesions with 85-92% accuracy
MobileNetV2 CNN examines both the image appearance AND the shape of detected areas to classify findings as Benign, Malignant, or Normal.
Output: Classification + Confidence Score (87-92% accuracy, 89-94% sensitivity)
GPT-4 Vision reads the ultrasound like a radiologist and generates a comprehensive medical report using proper terminology, including lesion characteristics, anatomical observations, and clinical recommendations.
Output: Structured medical report with BI-RADS category and follow-up recommendations
5-10 Seconds
Total processing time per image
Oval, well-circumscribed hypoechoic lesion measuring 1.2cm. Smooth margins with parallel orientation to skin. Posterior acoustic enhancement present (suggests fluid-filled).
Normal surrounding tissue architecture. No distortion. Skin thickness normal (2mm).
Normal blood flow pattern. No enlarged lymph nodes visualized.
Findings consistent with simple cyst or fibroadenoma. BI-RADS 2 (Benign). Routine screening in 12 months recommended.
State-of-the-art segmentation model with attention mechanisms that focus on relevant tissue regions. Trained on 3,200+ annotated images.
Analyzes both image texture and lesion shape simultaneously using MobileNetV2 backbone for accurate classification.
Advanced language AI that generates detailed medical reports in professional radiological terminology with BI-RADS compliance.
* Based on validation with BUSI dataset. Real-world performance to be validated through partnership studies.
20-30% reduction in case review time, allowing focus on complex cases
Standardized approach reduces inter-observer variability
Independent validation catches potential oversights
Pre-populated structured reports in proper BI-RADS format
Process more patients with same resources
Built-in quality checks and performance monitoring
Educational resource for radiology residents and fellows
Academic publications and conference presentations
We're seeking clinical research partners to help validate this technology in real-world settings. Together, we'll demonstrate its clinical utility and prepare for regulatory approval.
Initial Setup
1-2 days for installation & training
Weekly Reviews
1-2 hours per week for case review
Monthly Meetings
1 hour for progress updates
This AI is NOT a substitute for radiologist interpretation. It serves as a clinical decision support tool only.
✓ What the AI CAN do:
✗ What the AI CANNOT do:
Current Status
⚠️ Research & Development Phase
Approved Use
✓ Research with institutional approval
Approved for: Research studies with institutional approval, educational purposes, and clinical decision support with radiologist verification.
Join leading healthcare institutions in validating breakthrough AI technology. Be among the first to access this system at no cost during the research phase.
Zero Cost
Free system, installation & support
Co-Authorship
Publications & academic recognition
Early Access
Priority for commercial version
🔒 Your data stays secure. Compliant with local regulations. Ethics committee support provided.
We typically respond to partnership inquiries within 24 hours. Our team is excited to discuss how we can collaborate with your institution.
Research Use Only: This AI system is currently under development and validation. It is not approved for standalone clinical diagnosis.
Clinical Responsibility: The interpreting radiologist retains full responsibility for all diagnostic decisions. AI outputs are advisory only.
No Warranties: While we strive for accuracy, AI systems can make errors. Always verify AI findings independently.
Data Privacy: We comply with all applicable data protection regulations. Specific protections detailed in partnership agreements.