This extension is a post-processing image analysis software that assists clinicians in viewing, analyzing, and evaluating MR brain images as a diagnostic aid. AI-Rad Companion brings value to the interpretation process in supporting the clinician by automatic segmentation and analysis of individual brain structures. The volume of each of these structures will be compared to a normative database and results will be offered in graphics and numerical values.
Download the flyer below to learn more or request for a demo to experience the software in person.
Discover how AI-Rad Companion supports you as a full-time radiology expert
Neurology - Artificial intelligence supports clinicians in reading brain images
A new software helps radiologists view, analyze, and evaluate brain images.
AI-Rad Companion performs an automatic segmentation of the different brain structures , and provides individual volumetric analysis.
Courtesy of CHUV, Lausanne, Switzerland, Case 2aaaa1366
AI-Rad Companion compares the different volumes to a normative database and automatically generates a highlighted deviation map.
Courtesy of University Hospital Mannheim, Germany
AI-Rad Companion automatically generates a report with all volumetric analyses listed, deviations from the normative database are marked. All results can be transferred to PACS based on the configuration.
Courtesy of Centre d'imagerie diagnostique, Lausanne, Switzerland, Case 2aaaa1366
What is AI-Rad Companion?
Over the past few years, AI-based imaging decision support has become more and more important in healthcare as physicians have struggle to cope with a growing workload, severe shortage of staff, as well as an increasing complexity of diagnostic tools.
The AI-Rad Companion is our family of augmented workflow solutions that support radiologists in their diagnostic task interpreting medical images. Its solutions provide automatic post-processing of imaging datasets through our AI-powered algorithms.
AI-Rad Companion seamlessly integrates into the physician’s workflow transferring data securely and GDPR compliant helping to ease today’s challenges in routine radiology.
Listen to what our customer has to say
Clinical Use for Brain Volume Analysis in Dementia Patients
“It's effective in dementia sufferers, particularly those with Alzheimer's disease. The algorithm can detect a reduction in brain volume in a variety of locations. Percentage of brain volume in that location is relative to the whole brain compared to the average population, and reported as Percentile Colors. Percentile Colors are used to represent abnormally reduced brain volume at different levels. To compare values, tables and graphs are also generated. This allows the doctor to make more accurate and reliable decisions.
In patient reporting, the reported results were similar to the visual analysis of a Radiologist who specializes in neurology. In addition, the results of the volumetric study can be stored in the database and compared with the results of previous patients or the following results to show the change in volume, precise brain tissue, increase diagnostic sensitivity, and tell changes rather than just visually analyzing results.”
Using in research together with analysis of Metabolic Imaging and Molecular Imaging.
“PET scans are a type of imaging that looks at the molecular and functional levels of cells, such as improper protein accumulations that cause disease or metabolic problems, which are more sensitive to diagnosis than morphological imaging like CT or MRI.
However, the program was used to test whether the program can detect small changes in brain volume when there may not be any obvious abnormalities from the Radiologist's eyes. How are they related to the detection of the abnormalities in the PET scan? The results of the research may lead to the use of brain morphometry software in conjunction with the diagnosis of dementia more widely in the future”
Dheeratama Siripongsatian, MD,
Nuclear Medicine Physician National Cyclotron and PET Centre,