Hospitals, Diagnostic centers, and clinics face similar challenges when it comes to
detecting false positives, false negatives, missed detections, or detecting subtle
patterns. They need a smart and efficient assistant who can help them steer clear of
misleading data, save time, and automate tasks. That is where mCT comes in.Healthcare
professionals can devote more of their time to patient care than only humans can.
Manentia mCT supports healthcare providers in diagnosing
and characterizing chest X-ray findings, from nodules to
masses, ensuring thorough patient assessment.
The system aids in monitoring the
diseases, allowing for timely interventions and
Education and Training
Manentia mXR aids radiologists and clinicians in
identifying and localizing chest X-ray abnormalities,
contributing to faster and more accurate diagnoses.
Key features and Benefits
Nodule Mass Cavity
Manentia mCT classifies nodule
mass cavities into precise
categories, such as calcified, non-
calcified, hyperdense, cavitatory,
and more, enabling targeted
diagnosis and treatment.
The system excels in identifying
micronodules (< 3 mm diameter),
nodules (3 mm to 30 mm diameter),
and masses (> 30 mm diameter) with exceptional accuracy.
Manentia mCT goes beyond
simple detection, offering
options for different chest CT
scans of lung findings, allowing
healthcare providers to make
The AI system generates
customizable reports that include
detailed nodule mass cavity
and annotations, streamlining
documentation and ensuring
Benefits for Healthcare
Manentia mCT's advanced algorithms provide A
precise characterization of nodule mass cavities,
aiding in accurate diagnosis and monitoring.
With automated analysis and reporting, our system
significantly reduces reporting time, allowing
healthcare providers to focus more on patient care.
Seamlessly integrating with existing healthcare
systems, mCT enhances workflow by providing easy
access to chest X-ray images and comprehensive,
Improved Patient Management
The system assists in identifying and tracking the
progression of diseases, facilitating timely and
appropriate treatment plans.
HOW IT WORKS
See how manentia MCT Works
STEP 1: Image Analysis
Manentia mCT's deep learning algorithms meticulously
analyze chest X-ray images, identifying nodule mass cavities
and their characteristics.
STEP 2: Customized Reportings
The system generates detailed, customized reports, which
include findings, measurements, and annotations, providing a
comprehensive overview of the chest X-ray.
Let’s Work Together!
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