Alma CLINIC v2.0

our web-based solution for medical image visualization and analysis

We provide you with a clinical web viewer with advanced tools for the visualisation and analysis of 2D and 3D medical images and series wherever and whenever you want through a secure connection to the cloud.

Integrate it into hospital systems or combine it with our digital medical imaging comprehensive solution and the algorithms you will find in our artificial intelligence marketplace.

Alma CLINIC v2.0, intended for healthcare professionals, complies with the Medical Device Directive 93/42/EEC and is CE marked class IIa by SGS Belgium NV (notified body 1639).



Integrate it into your healthcare infrastructure or medical device.
Discover it in our Alma HEALTH PLATFORM and benefit from the AI algorithms of our marketplace for medical image analysis.


Using our web viewer you will be able to analyse medical images and series in different modalities in the DICOM standard. Take a step beyond conventional radiology.

A modular solution with advanced 2D, 3D and MPR tools

Our clinical web viewer combines tools for interactive and simultaneous 2D, 3D and MPR visualisation. Quickly upload hundreds of studies wherever and whenever you want and analyse them thanks to the advanced tools available.


Create annotations on 2D and 3D images.


Compare the study with previous medical images and series of the patient.


Use the study manager to compare and organize them according to different criteria.

2D tools

• Explore different images from a series with a single click.

• Adjust various parameters, such as window level, for better diagnosis.

• Make measurements and annotations with the tools available in the viewer itself.

3D tools

• Reconstruct 3D images automatically.

• Manipulate and rotate the volume for better visualization.

• Process the medical images with specialized and configurable color palettes.

MPR tools

• Work simultaneously with different views (axial, sagittal and coronal), as well as with oblique MPR, and interact with the slice thickness.

• Process medical images with different colour palettes already defined.

• Apply the MIP (maximum intensity of contrast) and MinIP (minimum intensity of contrast) views.

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