High X-ray volumes
Large-scale screening programs require fast, consistent review of high numbers of chest X-rays, often with limited time per study.
AI-POWERED TUBERCULOSIS SCREENING
Managing infectious lung disease at population scale
Rayscape CXR is designed for environments where large numbers of chest radiographs must be assessed efficiently and early signs of infectious lung disease should not be overlooked. The system analyses chest X-ray images to identify patterns associated with pulmonary tuberculosis, including subtle infiltrates, cavitary changes, consolidations, and other suspicious abnormalities, and provides structured outputs for triage, prioritization, and follow-up referral.
The Clinical Challenge
Tuberculosis screening is shaped less by urgency per case and more by volume, consistency, and early recognition. Screening teams often need to review large numbers of chest X-rays where abnormalities may be subtle, non-specific, or masked by overlapping structures.
Subtle early radiographic signsHigh screening volumes that limit time / studyVariability in interpretation across sitesNon-specific findings requiring triage
WHY AI MATTERS IN TUBERCULOSIS SCREENING PROGRAMS
Subtle or non-specific findings
Early TB-related changes can be faint or overlap with other abnormalities, making suspicious studies harder to identify consistently.
Need for timely triage
Screening programs depend on quickly surfacing suspicious exams for referral, follow-up, and further evaluation.
HOW RAYSCAPE AI WORKS
Helps identify patterns associated with pulmonary tuberculosis, including subtle abnormalities that may be difficult to detect in high-volume screening workflows.
SUPPORTING TUBERCULOSIS SCREENING AT SCALE
Population screening is effective only when interpretation remains consistent across thousands of studies. AI-assisted evaluation helps reduce variability between readers, supports structured follow-up pathways, and contributes to safer, more reliable screening programs, even in remote areas.
Who Benefits
Radiologists
- Additional verification during high-volume reading
- Reduced cognitive load when managing multi purpose exams
Hospitals & Imaging Centers
- Standardized interpretation across screening centers
- Support for quality and safety initiatives
Patients
- Increased likelihood that important findings are recognized
- More complete use of existing imaging data
Fits into your tuberculosis screening workflow
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
AP CHEST XRAY
PA CHEST XRAY
HOSPITAL PACS/RIS
LOCAL/CLOUD/HYBRIDDEPLOYMENT
RUNNING RUNNING 
AI DETECTION
AI BONE SUPPRESSION AND SUBTRACTION
TEXT BASED AI REPORTING
RADIOLOGISTRUNNING
AP CHEST XRAY
or
PA CHEST XRAYHOSPITAL PACS/RIS
LOCAL/CLOUD/HYBRIDDEPLOYMENT
AI DETECTIONAI BONE SUPPRESSION AND SUBTRACTIONTEXT BASED AI REPORTINGRADIOLOGIST
Clinically meaningful impact in chest x-ray AI detection
93% AUC
Average performance across 142 chest X-ray findings
+6.9% Sensitivity
Mean increase in radiologists’ detection performance with AI assistance
AI reports
Structured outputs with detailed, consistent clinical analysis
30% Faster reporting
Reduction in reading time across chest X-ray workflows
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CLINICAL EVIDENCE
PROVEN VALUE IN TUBERCULOSIS SCREENING PROGRAMS
Rayscape acts as a second-read support layer for high-volume tuberculosis screening, helping teams review chest X-rays more consistently while preserving established workflows. It is DICOM-compatible, fits standard hospital IT environments, and supports scalable deployment across screening programs.
Supported by clinical research and real-world deployments
Trusted by public and private clinics from 18+ countries
SEE IT IN ACTION
Proven Value
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Dr. Amir H. Bigdeli - Head of Radiology, Artemed Klinikum München Süd
"
Rayscape CXR impressed me with its precision, reliability, and ease of integration. It detects thoracic abnormalities quickly and supports confident diagnostic decision-making, even in resource-limited settings. In Nyangao, Tanzania, it showed how AI can meaningfully help close diagnostic gaps.
"See how Rayscape fits into your tuberculosis screening workflow
Learn how Rayscape supports high-volume chest X-ray screening with structured outputs and minimal workflow disruption.
