Findings include Atelectasis, Cardiomegaly, Effusion, Infiltration, Mass, Nodule,
Pneumonia, Pneumothorax, Consolidation, Edema, Emphysema, Fibrosis,
Pleural_Thickening, Hernia
Applications
Clinical Diagnostics
Manentia mXR aids radiologists and
clinicians in
identifying and localizing chest
X-ray abnormalities,
contributing to faster
and more accurate diagnoses.
Triage and Workflow Optimization
Prioritizes cases by highlighting critical
findings, ensuring that urgent cases receive
prompt attention.
Education and Training
Manentia mXR aids radiologists and clinicians in
identifying and localizing chest X-ray abnormalities,
contributing to faster and more accurate diagnoses.
Customer Problems Solved
Accurate Anomaly Detection
mXR addresses the challenge of identifying
subtle or complex chest X-ray findings,
ensuring that no pathology goes
unnoticed.
Localization Precision
By localizing abnormalities, our solution
assists in determining the exact location of
issues, streamlining diagnosis and
treatment planning.
Efficiency and Time Savings
Manentia mXR expedites the interpretation
process, enabling healthcare providers to
handle higher
X-rays while reducing the
time spent on each case.
Key features and Benefits
Accurate Anomaly Detection
Identifies 14 chest X-ray findings,
from atelectasis to pleural
thickening, with high sensitivity
and specificity.
Localization Precision
Precisely pinpoints the location
of abnormalities within the X
-ray, enhancing clinical
decision-making.
AI-Powered Accuracy
Our AI algorithms continuously
learn from real-world data,
improving detection rates and
reducing false positives.
Integration Flexibility
Seamlessly integrates with
existing radiology workflows,
making it easy to adopt..
HOW IT WORKS
See how manentia mXR Works
STEP 1: Image Acquisitaion
Chest X-ray images are acquired through standard
radiography equipment
STEP 2: AI Analysis
The acquired images are processed through Manentia`'s AI
algorithms, which detect and localize abnormalities.
STEP 3: Reporting
The results are presented in an easily interpretable format,
highlighting detected findings and their locations.
Let’s Work Together!
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