AZ chest
Clinically validated by top institutions worldwide, AZchest automatically categorizes, detects and reports the main cardiac and lung abnormalities on X-rays.
Pathologies Detected
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![Clinically validated by top institutions worldwide, AZchest automatically categorizes, detects and reports the main cardiac and lung abnormalities on X-rays.]()
Consolidation
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![Clinically validated by top institutions worldwide, AZchest automatically categorizes, detects and reports the main cardiac and lung abnormalities on X-rays.]()
Pulmonary edema
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![Clinically validated by top institutions worldwide, AZchest automatically categorizes, detects and reports the main cardiac and lung abnormalities on X-rays.]()
Pleural effusion
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![Clinically validated by top institutions worldwide, AZchest automatically categorizes, detects and reports the main cardiac and lung abnormalities on X-rays.]()
Pneumothorax
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![Clinically validated by top institutions worldwide, AZchest automatically categorizes, detects and reports the main cardiac and lung abnormalities on X-rays.]()
Nodule
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![Clinically validated by top institutions worldwide, AZchest automatically categorizes, detects and reports the main cardiac and lung abnormalities on X-rays.]()
Rip fracture
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![Clinically validated by top institutions worldwide, AZchest automatically categorizes, detects and reports the main cardiac and lung abnormalities on X-rays.]()
Cardiomegaly
Benefits
Optimized Workflow and Improved Quality of Care
Studies made on 9000 cases in 15 centers shows tremendous ROIs.
AZchest AUC per Abnormality
Studies show high and consistent performances, with Area Under the Curve (AUC) between 0.913 and 0.9582.
+11.4%
Sensitivity per Case
-35.8%
Reading time decreased
« We use Rayvolve for the detection of fractures and thoracic pathologies. The solution seamlessly integrates into our local PACS and our workflow.
Thanks to its results, our radiologists can significantly speed up their overall reporting while simultaneously increasing its accuracy.
We therefore consider it our AI-based second opinion, which boosts our overall quality and performance. »
« The implementation of AZmed’s Rayvolve AI software for fracture detection at our institution has particulary helped our junior clinicians and practicioners in the emergency department, especially out of hours with additonal support in image interpretation and diagnosis, which in turn allows for a more efficient and streamlined patient treatment pathway into Orthopaedic fracture clinic. »
« Rayvolve demonstrated high stand-alone accuracy, aided diagnostic accuracy, and decreased interpretation time.
When extrapolated over an entire population, one can see quickly how using this tool can really help decrease medical errors and healthcare costs. »