DeepLook Medical develops AI-powered diagnostic software that detects breast cancer earlier in women with dense breast tissue, addressing a population often missed by standard mammography. The platform has received FDA clearance and is being commercialized globally, enabling clinicians to identify malignancies with higher sensitivity and reduce false‑negative rates. By integrating advanced machine‑learning models into existing imaging workflows, DeepLook aims to improve outcomes for millions of women at risk.
Funding
Funding not disclosed
Founders
Product
Problem
Women with dense breast tissue often receive false‑negative results from standard mammography, leading to delayed breast cancer diagnoses and higher mortality. Existing imaging workflows lack tools that specifically address the reduced sensitivity in dense breasts.
Solution
DeepLook Medical offers an AI‑driven diagnostic add‑on that integrates into current mammography systems to identify breast cancer signs that conventional analysis may miss in dense tissue. The platform processes digital mammogram images with validated machine‑learning models, generating a risk score and visual overlays that highlight suspicious regions. FDA clearance confirms its safety and efficacy, allowing radiologists to incorporate the AI output into their routine reads without changing workflow. By providing earlier detection, the solution aims to improve treatment outcomes and expand access to accurate screening worldwide.
Target Audience
Primary customers are radiology departments, breast imaging centers, and healthcare networks that perform mammography on women with dense breast tissue.
Features
- FDA‑cleared deep learning algorithm trained on large, diverse datasets of dense‑breast mammograms
- Seamless software integration with existing digital mammography hardware and PACS systems
- Automated risk scoring and heat‑map visualizations to assist radiologist interpretation
- Clinical validation studies demonstrating improved sensitivity for cancer detection in dense tissue
- Cloud‑based analytics platform that updates models continuously as new data are collected
- Compliance with HIPAA and data‑encryption standards for secure patient information handling