AI for clinical decision support and medical process optimization

AI for medical imaging

We deliver custom, cutting-edge medical imaging projects that unlock the value of medical images. Our medical imaging solutions are focused on automatic segmentation (DICOM segmentation), visual analysis, pathologies detection (for example FCD detection, and brain tumor detection), and medical image measurement. We recognize the importance of projects that increases efficiency, quality, safety, and efficiency in the medical sector and that supports you in your work and processes.

Segmentation of anatomical structures on MRI/CT scans

Automatic detection of anatomical structures such as brain, bones, vessels, or pancreas and their parts such as brain ventricles based on MRI and CT segmentation. Detect pathologies like tumors, aneurysms, and other malformations.

Measurements of organs and anatomical structures

Gain valuable insight into organs – such as length, width, or volume through medical image measurement. For example, detect the center line of vessels and measure the aneurysm parameters or determine the ventricular volume of the heart.

Visual analysis of medical equipment

Accelerate the organizational activities in the hospitals and automate the controlling procedures – such as recognize the tools on operation tray and report missing pieces.

Visualize and render in 3D or use as part of your product

If visualizing and rendering 3D medical imaging is part of your plans, either as part of solutions or for research purposes, let’s make your project or idea come true. Contact us, we have the right solution for you.

Reliable tools and medical expertise

Our team has extensive knowledge built on the implementation of multiple medical AI projects. Over many years of working with medical stakeholders such as doctors, researchers, medical staff, and hospital directors, we have built a deep understanding of medical processes and needs. Our projects are built using reliable methodologies and frameworks, such as Microsoft InnerEye, to ensure high standards of the models, data version control, AI training repeatability, and documentation for e.g. medical certification purposes.