Quantib ND
Overview
Quantib ND, now integrated into DeepHealth Brain, is an AI-powered medical imaging processing application designed for the analysis of brain MRI scans. It is intended to provide quantitative information to trained medical professionals for the evaluation and assessment of neurodegenerative changes.
This tool is primarily for radiologists and neurologists in care settings where MRI brain scans are utilized for diagnosing and monitoring neurodegenerative diseases such as dementia, Alzheimer’s disease, and multiple sclerosis (MS).
Quantib ND integrates into clinical workflows by automatically labeling, visualizing, and volumetrically quantifying segmentable brain structures from MR images. It measures brain atrophy and detects white matter hyperintensities (WMH). The software provides segmentations, visualizations, and volumetric measurements, which can be compared to reference centile data from a healthy population. It offers both single time-point analysis and longitudinal analysis for tracking changes over time. The output includes a comprehensive report with quantitative results that can be sent to PACS.
Notable capabilities include automatic atrophy analysis, longitudinal atrophy and WMH analyses, and a color-coded overlay on T2 FLAIR images to distinguish between new and existing WMH lesions. Users can review and edit WMH segmentations. The tool aims to support and objectify the diagnostic process by providing quantitative data and reducing interobserver variability.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
What Physicians Need to Know
Quantib ND offers automated segmentation and volumetric quantification of brain structures and white matter hyperintensities from MRI scans. This can be particularly useful for monitoring neurodegenerative diseases like Alzheimer's, other dementias, and MS, as it tracks changes in brain atrophy and WMHs over time. The ability to compare patient brain volumes with a healthy reference population provides valuable context for interpretation. The software generates comprehensive reports with quantitative results that can be sent to PACS, aiding in standardized reporting and clinical decision-making.
Quantib ND integrates into clinical imaging workflows. The output, including reports and segmentations, can be directly and automatically exported to a configured DICOM node, such as a PACS system, and viewed with any DICOM viewer. Quantib ND 2.0 is developed as an extension for Quantib's own Linux-based platform, Quantib AI Node. It can be integrated via an AI marketplace or distribution platform, or as a standalone third-party application. Analysis can be triggered automatically after image acquisition or on demand by a user.
Details
| Category | Neurology AI, Radiology & Imaging AI |
| Pricing | Unknown |
| Compliance | |
| BAA Available | Unknown |
| HIPAA Compliant | Unknown |
| FDA Status | Cleared AI-estimated |
| Integrations | |
| EHR | Not specified |
| Specialties | Neurology, Radiology |
What the Web Says
Quantib ND is an AI-powered software designed to assist radiologists in interpreting brain MRI scans by quantifying brain atrophy and detecting white-matter hyperintensities, which are indicators for conditions like aging, dementia, and multiple sclerosis. Physicians and neurologists have expressed positive opinions, noting its ability to facilitate multidisciplinary discussions and improve diagnostic confidence. The software has received FDA clearance and has undergone several upgrades to enhance its analytical capabilities and workflow integration.
Overall: PositiveStrengths
- Automatic atrophy analysis and detection of white-matter hyperintensities.
- Supports radiologists in interpreting brain MRI scans for conditions like dementia and multiple sclerosis.
- Provides clear overviews of quantitative results in a report per analysis.
- Enables easy review and editing of white-matter hyperintensity segmentation in an internet browser.
- Facilitates constructive multidisciplinary deliberation and efficient decision-making.
- Improves trust in radiologists' and neurologists' diagnoses.
Limitations
- No specific cons were found in the provided search results regarding Quantib ND from physicians, healthcare IT, tech reviewers, Reddit, G2, or Capterra.
- General challenges with AI adoption in healthcare include the need for data standardization and funding models.
Based on reviews from: auntminnie.com, scispace.com, amsterdamumc.nl, trustpilot.com, featuredcustomers.com, auntminnieeurope.com, prnewswire.com, researchgate.net, zorgenablers.nl, healthcareitnews.com, healthairegister.com, deephealth.com
Last updated: 2026-10-31
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