Whiterabbit.ai: Revolutionizing Early Breast Cancer Detection with AI

Whiterabbit.ai is a pioneering AI healthcare company founded in 2017, dedicated to making late-stage breast cancer rare by enabling early detection through advanced artificial intelligence in mammography screening. Specializing in clinical decision support and radiology workflow enhancement, the platform offers two FDA-cleared, ACRconnect-verified tools—WRDensity and WRRisk—that leverage deep learning models trained on over one million patient records to improve diagnostic accuracy, consistency, and efficiency. Designed for integration with existing RIS/PACS systems, these tools deliver real-time risk scores and breast density assessments, reducing manual work, minimizing false positives, and supporting personalized patient care. With a team of over 130 AI scientists, engineers, and healthcare experts, and collaborations with leading academic and medical institutions, Whiterabbit.ai combines cutting-edge research with practical clinical applications. Its mission-driven focus on eliminating suffering through early detection is backed by peer-reviewed studies and industry recognition, including presentations at SPIE Medical Imaging and RSNA.

Key Features:

• WRDensity: AI-powered breast density assessment software with 43% higher consistency than radiologists over time.
• WRRisk: Clinical decision support tool for estimating 10-year and lifetime breast cancer risk, integrated with PACS.
• Real-Time Scorecard Integration: Combines risk scores and breast density data in a single interface for streamlined decision-making.
• FDA-Cleared Algorithms: Both WRDensity and WRRisk are FDA-cleared, ensuring regulatory compliance and clinical reliability.
• ACRconnect Platform Availability: WRDensity is the first commercial AI algorithm available on the American College of Radiology’s AI-Lab.
• Deep Learning Model Training: Trained on over 600,000 images from the Mallinckrodt Institute of Radiology and a proprietary dataset of over 2 million patients.
• Seamless Workflow Integration: Designed to work directly within radiologists’ existing workstations without disrupting current processes.
• Manual Override Capability: Radiologists can override AI assessments with a single click, preserving clinical autonomy.
• Automated Data Capture: Digitally captures health information, reducing manual transcription and improving efficiency.
• Longitudinal Research Support: Conducts ongoing studies on AI’s impact on radiologist performance and breast density consistency.
• HIPAA & HITECH Compliant: Operates as a business associate, ensuring secure handling of protected health information.
• Privacy & Security Measures: Implements encryption, firewalls, and secure facilities to protect user data.
• Multi-Channel Contact Access: Offers a contact form for demos, media, careers, quality, and general inquiries.
• Global Research & Innovation: Publishes insights and research at major medical conferences, including SPIE and RSNA.

Pricing: Whiterabbit.ai offers a free demo request option for healthcare providers and institutions, allowing potential users to experience the platform’s capabilities before committing. While specific pricing details are not publicly disclosed, the availability of a demo and integration with major healthcare systems suggest a subscription-based model tailored to clinical and enterprise use.

Conclusion: Whiterabbit.ai stands at the forefront of AI-driven breast cancer detection, combining clinical expertise, robust data science, and regulatory excellence to deliver transformative tools that enhance diagnostic accuracy, support personalized care, and ultimately save lives.