DeepLook Medical provides an FDA‑cleared imaging solution, DL Precise™, that integrates directly into radiologists’ existing workflow to enhance visualization of soft tissue lesions.
Funding
Funding not disclosed
Founders
Product
Problem
Soft tissue lesions in mammography and other grayscale imaging are often difficult to visualize, leading to subjective interpretation and operator dependence. This results in a high rate of additional screening exams, increasing costs and patient anxiety. The limited clarity hampers radiologists’ confidence and can delay accurate diagnosis.
Solution
DeepLook Medical offers DL Precise™, an FDA‑cleared imaging software that integrates directly into existing radiology workflows and picture‑archiving systems. The platform enhances image resolution and applies grayscale‑enhancement algorithms to reveal subtle soft‑tissue details that are not readily apparent in standard scans. By delivering higher‑quality visualizations, DL Precise improves diagnostic confidence and supports more precise tumor‑board discussions. The solution operates without requiring new hardware, allowing radiologists to access enhanced images within their familiar interface. Improved lesion detection reduces the need for unnecessary follow‑up examinations, lowering downstream costs for providers and payers while reducing patient stress.
Target Audience
Primary customers are radiology departments in hospitals, outpatient imaging centers, and breast‑screening facilities that require more accurate soft‑tissue visualization. Payers and health‑care networks also benefit from the reduced need for repeat imaging.
Features
- FDA‑cleared software that can be embedded into leading medical imaging platforms and PACS systems
- High‑resolution grayscale enhancement that amplifies subtle soft‑tissue contrast in mammograms and other scans
- Seamless workflow integration requiring no additional hardware or major workflow changes
- Real‑time visualization tools that facilitate collaborative review during tumor‑board meetings
- Automated processing that standardizes image quality, reducing operator dependence and variability
- Compatibility with existing radiology information systems to streamline reporting and data management