AI for Radiology and Pathology
Medical images are ubiquitous in healthcare.
They are used for diagnosis, for surgical planning, to quantify disease progression, and in many other workflows. Their use is increasing dramatically due to an aging population and healthcare innnovations. In some countries, a shortage of specialists to interpret these images, underscores the need for automation.
We have world-class expertise in AI and machine learning and a deep understanding of the imaging pipeline. While CT, MR, and US are the most common modalities and our roots in neurovascular imaging, we work with all modalities, anatomies, and pathologies.
XDMD develops AI for medical imaging.
Our software adheres to the highest quality standards.
We are actively advancing our processes to align with applicable regulatory. We work B2B on a project basis with hospitals and medical-technical companies and are preparing to support pharmaceutical companies and contract research organizations (CROs).
What we do
reconstruction
registration
detection
segmentation
reporting
We develop algorithms for the entire imaging pipeline, from acquisition and reconstruction (transforming raw data) to registration (spatial alignment), detection, segmentation (contouring objects), and interpretation and generating patient reports.
The most common high-level tasks are registration, detection, and segmentation. For example, the registration of pre-operative with intra-operative images to guide surgery, the detection of microbleeds to assess neurological damage, or the segmentation of tumors to measure their volume.