Leverage our validated AI modules to triage high-risk cases, standardize reads, and uncover subtle findings, so your radiology team can work faster and with greater confidence.
Using only standard T1-weighted scans, this module pinpoints subtle patterns of cortical thinning and hippocampal atrophy. It delivers an automated risk score alongside volumetric measurements, so you can intervene sooner and track progression objectively.
Leverage advanced segmentation algorithms to identify and outline white-matter lesions across your entire 3D dataset. Quantitative lesion load, per-region counts, and change-over-time reports come pre-formatted—ideal for both routine reads and longitudinal studies.
Our DCE-MRI analysis engine automatically detects and characterizes enhancing lesions, providing lesion probability maps and BI-RADS–compatible descriptors. It flags suspicious regions for radiologist review, speeding up interpretation of dense or multi-phase studies.
Integrating ADC mapping with dynamic series, this module highlights regions of restricted diffusion and contrast uptake consistent with PI-RADSv2-defined lesions. It outputs color-coded maps and volumetric summaries to support lesion grading and reporting.
Combining structural MRI with functional connectivity overlays, this tool localizes epileptogenic zones with millimetric precision. Clinicians receive a ranked list of candidate foci plus network-graph visualizations to guide pre-surgical planning.
Pre-processing will automatically start after sending the scan to the workstation to ensure the images are analyzed when the user is ready to review
Examination results can be downloaded or uploaded to PACS as a comprehensive report including self-selected cross-sections and personal comments.
Patient's treatment can be monitored using the follow-up function. The reference percentile curves allow for comparison of patient's data to the expected values for a healthy population.
Quantified segmentation results of scans are presented in an easy to read table and visualized with color coded overlays on an anatomical map.
Automated MRI volumetry as a diagnostic tool forAlzheimer’s disease Automated MRI volumetry as a diagnostic tool for Alzheimer’s disease Structural neuroimaging with magnetic resonance imaging (MRI) (or computed tomography (CT)) plays a key role in the diagnostic work-up of dementia. It allows to rule out structural lesions of the
Alzheimer’s imaging Alzheimer’s (Dementia) is an acquired syndrome in which a person suffers from progressive impairment in one of the following six cognitive domains: complex attention, executive function, learning and memory, language, perceptual-motor function, and/or social cognition. These cognitive deficits cannot be attributed to another mental disorder (e.g., depression or
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