High CT volumes
Radiologists review high volumes of low-dose chest CTs under time pressure, with increasing demands for consistency.
AI SUPPORT FOR LUNG CANCER SCREENING AT SCALE
Pulmonary nodule detection and follow-up for screening programs
Rayscape Lung CT is designed for lung cancer screening workflows, where consistency matters as much as speed. It analyzes chest CT exams to detect pulmonary nodules, segment them, and extract structured data such as diameter, volume, and location.
For screening follow-up, the platform aligns current and prior studies to support longitudinal comparison, including growth assessment and volume doubling time. The result is a more standardized evaluation process across screening rounds, helping radiologists identify relevant changes earlier and report findings more consistently.
1 IN 16
people will be diagnosed with lung cancer in their lifetime*
*American Cancer Society. Cancer Facts and Figures 2025. Atlanta; American Cancer Society: 2025
Behind every screening exam is a person
Behind every screening exam is a person
WHY AI IS ESSENTIAL FOR LUNG CANCER SCREENING?
Small nodules easy to miss
Tiny early-stage nodules can be obscured by vessels or motion, leading to delayed cancer detection and later-stage diagnosis.
Longitudinal comparison takes time
Manual comparison with prior studies is time consuming and inconsistent, making it harder to detect subtle growth.
How Rayscape AI helps
Identifies pulmonary nodules with a size between 3-30 mm on low-dose chest CT and highlights suspicious findings for radiologist review.
FITS INTO THE SCREENING WORKFLOW YOU ALREADY USE
Built for clinical reality
Rayscape integrates directly with your imaging ecosystem, allowing AI analysis to happen automatically in the background while radiologists work in familiar systems.
- Works with standard imaging workflows
- No separate reading workflow required
- Designed for multi-site and high-volume screening programs
NORMAL DOSE CT SCAN
LOW DOSE CT SCAN
± CONTRAST CT SCAN
HOSPITAL PACS/RIS
LOCAL/CLOUD/HYBRIDDEPLOYMENT
AI DETECTION
NODULE INFORMATION
COMPARATIVE ANALYSIS
WEB VIEWER FOR ADJUSTING RESULTS
RADIOLOGISTLOW DOSE CT SCAN
HOSPITAL PACS/RIS
LOCAL/CLOUD/HYBRIDDEPLOYMENT
AI DETECTIONNODULE INFORMATIONCOMPARATIVE ANALYSISWEB VIEWER FOR ADJUSTING RESULTSRADIOLOGIST
Clinically meaningful impact in lung nodules detection
94% detection rate
FROC-based accuracy for lung nodules
+7.8% Sensitivity
Mean improvement in radiologists' nodule detection
No missed nodules
AI-supported review reduces the risk of overlooked lesions
27.5% Faster reporting
Reduced turnaround time through optimized workflow and prioritization
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CLINICAL EVIDENCE
PROVIDING VALUE FOR LUNG CANCER SCREENING PROGRAMS
Designed to function as a second reader support layer, Rayscape enhances case review, longitudinal comparison, and reporting while preserving established reading habits. The solution is DICOM-compliant, compatible with standard hospital IT environments, and built to scale from individual screening centers to population-level programs, delivering advanced AI support with minimal operational friction.
Supported by clinical research and real-world deployments
What screening teams need in one product
| Feature | Rayscape |
|---|---|
| Incidental Findings | |
| Automated Nodule Analysis | |
| Screening-Oriented Workflow | |
| Early Nodule Detection Support | |
| Adjustable Thresholds | |
| Automated Structured Reporting | |
| Longitudinal Tracking | |
| Validated Across Diverse Populations | |
| Interconnectivity of Tools |
Trusted by public and private clinics from 18+ countries
SEE IT IN ACTION
See how Rayscape fits into
your screening workflow
Learn how Rayscape fits into oncology follow-up workflows, from lesion comparison to structured output.
