High X-ray volumes
Large reading volumes and limited time per case increase the risk of delayed review or overlooked findings.
AI-SUPPORT FOR EMERGENCY and ICU XRAY IMAGING
Acute thoracic findings detection for Chest X-rays
The Clinical Challenge
Rayscape CXR is designed for settings where chest X-rays must be reviewed quickly and clinically important findings cannot be missed.
It helps identify acute thoracic abnormalities such as pneumothorax, pleural effusion, consolidation, fractures, lines, and tubes, providing structured output to support triage, prioritization, and faster clinical review.
Subtle early signs of acute deteriorationRapid changes between consecutive examsComplex lung patterns with multi-type lesionsOverlapping findings from devices, tubes, and support equipment
WHY AI IS ESSENTIAL IN EMERGENCY & ICU IMAGING DEPARTMENT
Complex, unstable patients
Critically ill patients often present with overlapping patterns: infection, edema, atelectasis, device-related changes
Time pressure
When clinical status can change quickly, urgent findings need to be recognized and escalated fast.
How Rayscape AI supports acute chest X-ray review
Identify 140+ thoracic abnormalities further grouped into 17 super-classes with localization support, helping radiologists detect subtle findings
Fits into your chest X-ray 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.
- Fully aligned with standard imaging workflows
- No parallel or separate reading environment required
- Scales from single-site practices to multi-site, high-volume centers
AP CHEST XRAY
PA CHEST XRAY
HOSPITAL PACS/RIS
LOCAL/CLOUD/HYBRIDDEPLOYMENT
RUNNING RUNNING 
AI DETECTION
AI BONE SUPPRESSION AND SUBTRACTION
CARDIO-THORACIC INDEX
TEXT BASED AI REPORTING
RADIOLOGIST RUNNING
AP CHEST XRAY
or
PA CHEST XRAYHOSPITAL PACS/RIS
LOCAL/CLOUD/HYBRIDDEPLOYMENT
AI DETECTIONAI BONE SUPPRESSION AND SUBTRACTIONCARDIO-THORACIC INDEXTEXT BASED AI REPORTINGRADIOLOGISTWHAT ICU/ EMERGENCY TEAMS NEED IN ONE PRODUCT
RAYSCAPE CXR AI brings computational clarity to everyday imaging, continuously analyzing chest X-rays to surface clinically meaningful patterns that might otherwise remain buried in visual complexity. By combining broad abnormality detection with advanced image enhancement, the system helps transform raw imaging data into structured, actionable insight.
17 MAIN SuperCLASSES of Target Findings
+ 10 others
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
PROVIDING VALUE FOR EMERGENCY AND ICU TEAMS
Rayscape CXR acts as a clinically embedded support layer, helping emergency and ICU teams recognize urgent thoracic abnormalities, prioritize time-sensitive cases, and receive structured outputs for faster decision-making. Designed for integration into routine hospital workflows, it supports rapid review without disrupting established reading environments.
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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MD MORITZ HALFMANN - Universitätsmedizin Mainz
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We were highly motivated to integrate AI workflows into our structured reporting engine, and our experience with Rayscape has been very positive. The system automatically analyzes chest X-rays and feeds structured data into pre-populated reports, allowing physicians to focus on validating or dismissing findings. In our evaluation study, this approach significantly reduced reporting time and enabled a more efficient workflow, particularly in ICU chest X-ray cases.
"See how Rayscape fits into the ER/ICU chest X-ray workflow
Learn how Rayscape supports faster, more structured review of acute chest X-ray findings.
