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Qmenta Care Platform Family

by QMENTA · Based in United States → — The all in one imaging platform for your clinical trial

Neurology Nuclear Medicine Radiology

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Regulatory Status Disclosed

Overview

QMENTA Care Platform Family, developed by QMENTA (formerly Mint Labs, Inc.), is a cloud-based medical imaging system designed for comprehensive neuroimaging data management, processing, and analysis. It enables healthcare providers, researchers, and pharmaceutical companies to manage DICOM images and textual reports, organize and store them, and make this information accessible across a network via web and customized user interfaces. The platform integrates AI-powered tools and biomarkers to provide quantitative insights into brain features and changes, aiding in neurology evaluation, diagnosis, and treatment decision-making. It supports multi-modal data including MRI, PET, CT, OCT, and EEG, and offers automated de-identification of Protected Health Information (PHI) to ensure patient privacy.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

Smart Uploader with auto PHI de-identification and image quality checks
Imaging Cloud with secure PACS connection and automated workflows
AI Imaging Biomarkers (50+ algorithms available, with API for custom integration)
Central Review with adjudication tools
Imaging Management System with imaging EDC, query management, and reporting
Multi-modal imaging data management (MRI, PET, CT, OCT, EEG)
Automated, visual patient reports (exportable PDF)
Cloud-based platform for data aggregation and analysis
Configurable dataflow management
Integrated de-identification within firewall

Use Cases

Clinical trials management (imaging-centric)
Neuroscience research (academics, research institutions)
Clinical care and diagnosis support (diagnostic centers, outpatient networks)
Therapeutics development (biopharma, CROs, medical devices)
Diagnostic development (AI digital biomarkers, med-tech innovators)
Legal practices for medical imaging review

What Physicians Need to Know

Stroke Detection Speed

QMENTA partners with Quantib to create a decision support system for stroke, aiming to optimize clinical decision-making for ischemic or hemorrhagic stroke in the acute stage. This collaboration focuses on providing objective, automated, and fast quantitative analysis of CT data via the cloud. The platform is designed to help rapidly and accurately detect and track the effects of stroke at the individual patient level. AI stroke detection systems can analyze CT scans in 1-6 minutes, which is significantly faster than traditional radiology workflows (15-60 minutes), and can cut door-to-notification time by 30-52%. In some cases, AI can spot a stroke in under two minutes.

Brain MRI/CT Analysis

The QMENTA Care Platform is an FDA-cleared software system for managing, storing, and analyzing medical imaging data, including MRI and CT. It integrates AI-powered applications to assist clinicians in diagnosis and reporting. The platform offers over 50 AI algorithms specifically for neurology-focused imaging analysis. It provides automated advanced image analysis, multi-modal imaging data management, and customizable PDF reports. The platform supports volumetric quantification of hippocampal subfields, whole brain volume analysis, and evaluation of diffusion-based measures in white matter tracts, which are crucial for neurodegenerative diseases like Alzheimer's. It also features automated quality checks and data de-identification.

EEG Interpretation AI

The QMENTA Care Platform supports various imaging modalities, including EEG. It can automatically manage multi-modal data, including EEG, in various formats. While the platform supports EEG data, specific details on its AI for interpretation are not extensively detailed, but it is part of the broader capability to integrate and analyze diverse imaging data.

Seizure Detection

While the QMENTA platform supports EEG data, specific AI tools for seizure detection are not explicitly detailed in the provided information. However, the platform's ability to manage and analyze EEG data suggests a potential for such applications.

Neurodegenerative Disease Screening

QMENTA specializes in neuroimaging for Central Nervous System (CNS) diseases, including neurodegenerative disorders like Alzheimer's and Parkinson's disease. The platform offers AI-powered imaging biomarkers for early detection and characterization of these diseases. It provides tools for volumetric quantification of hippocampal subfields, analysis of resting-state fMRI connectivity, and longitudinal volumetric MRI for tracking changes in brain volume. The platform aims to provide reproducible, submission-ready endpoints for disease-modifying CNS and neurodegeneration trials.

Large Vessel Occlusion Detection

QMENTA's collaboration with Quantib aims to create a decision support system for stroke, which would inherently involve the detection of large vessel occlusions (LVOs). AI systems for LVO detection on CT angiography (CTA) have shown promising results, with an area under the curve (AUC) of 0.74 for detection and 0.82 for predicting patient outcome in a preliminary study. These systems can reduce CT angiography to team notification time by 22 minutes and door-to-arterial puncture time by 23 minutes compared to standard care. AI stroke detection systems achieve 90-95% accuracy for identifying LVOs.

Triage Prioritization Speed

The QMENTA platform aims to enable faster and more accurate decisions by integrating complex imaging workflows and utilizing AI technology. AI in acute neurovascular imaging has been associated with a 22-minute reduction in CT angiography to team notification time and a 23-minute reduction in door-to-arterial puncture time for LVOs. For intracranial hemorrhage, AI integration reduced median time to detection from 512 to 19 minutes. AI systems can analyze CT scans in 1-6 minutes, significantly reducing the time for radiologists to review them (15-60 minutes). This speed advantage can cut door-to-notification time by 30-52% in real-world hospital settings.

ASPECTS Score Automation

The provided information does not explicitly mention ASPECTS score automation within the QMENTA Care Platform Family. However, given its focus on stroke analysis and automated quantitative analysis of CT data, it is a potential area for future development or integration.

Mobile Notification System

The provided information does not explicitly detail a mobile notification system for the QMENTA Care Platform Family. However, the platform is cloud-based and accessible via web, suggesting potential for remote access and notifications.

Physician Tip

The QMENTA Care Platform Family is an FDA-cleared, AI-powered cloud-based solution designed to streamline medical imaging data management and analysis, enhancing diagnostic accuracy and efficiency for clinicians. It supports various imaging modalities, including MRI, PET, CT, OCT, and EEG, and offers over 50 AI algorithms for neurology-focused imaging analysis. Physicians can leverage the platform for faster and more accurate diagnoses, particularly in stroke and neurodegenerative diseases, by utilizing its automated quantitative analysis and AI biomarker tools. The platform's ability to manage multi-modal data and integrate third-party algorithms allows for comprehensive patient evaluations and supports treatment decision-making. The automated reporting features can save significant time in analysis and report generation. Clinicians should be aware that while AI tools can significantly aid in diagnosis and workflow efficiency, they are intended to support, not replace, human expertise and oversight.

The QMENTA Care Platform is designed for extensive integration. It integrates with Picture Archiving and Communications (PACS) tools and offers a Software Development Kit (SDK) for integrating third-party algorithms and custom tools. QMENTA partners with companies like Imaging Biometrics to integrate advanced visualization and analytical solutions, Imosphere for healthcare data management and analytics, and Quantib for stroke decision support systems. The platform supports the deployment of over 50 validated AI workflows and allows users to bring their own models or deploy third-party algorithms. It is also capable of integrating with various data sources, including clinical, real-world data (e.g., wearables), and genomic data.

At a glance

Pricing Contact vendor for pricing

Deployment Cloud Based SaaS; Zero Footprint Viewer; No Local Installation.

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Details

Category	Neurology AI, Radiology & Imaging AI
Pricing	Contact vendor for pricing
Free Trial	Unknown
Deployment	Cloud-based SaaS; zero-footprint viewer; no local installation.
API Available	Unknown
Data Export	Unknown
Training	Unknown
Compliance
BAA Available	Yes AI-estimated
HIPAA Compliant	Yes AI-estimated
FDA Status	Cleared AI-estimated
Integrations
EHR	Not specified
Specialties	Neurology, Nuclear Medicine, Radiology

Support & Reliability

Training Provided

Unknown

What the Web Says

The Qmenta Care Platform Family is an AI-powered, cloud-based medical imaging system designed for the neuroscience community, offering tools for managing and analyzing imaging data. It is 510(k) cleared by the FDA, compliant with various healthcare regulations, and aims to assist qualified physicians in neurology evaluation and diagnosis. The platform is used in research, clinical trials, and point-of-care settings, providing global data aggregation and consolidation of imaging-based studies.

Overall: Positive

Strengths

AI-powered cloud platform for medical imaging in neuroscience.
510(k) cleared by the FDA, ensuring regulatory compliance.
Compliant with HIPAA, GDPR, ISO 13485, and GxP standards.
Supports over 90 validated imaging AI workflows and biomarker tools.
Vendor-neutral, compatible with major scanner manufacturers and any DICOM system.
Facilitates global data aggregation and consolidation of imaging studies.

Limitations

Limited flexibility in customizing the workspace, which may hinder user experience.
Only one review found on G2, indicating limited public feedback.
Only one review found on Trustpilot, suggesting minimal user reviews.

Based on reviews from: dokumen.pub, youtube.com, sourceforge.net, trustpilot.com, g2.com, qmenta.com, parikhradiology.com, warrick.net, fda.gov, scribd.com, innolitics.com

Last updated: 2026-10-31

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Press & Coverage

fda.gov

Qmenta Care Platform Family 510(k) Premarket Notification

The FDA granted 510(k) clearance for the Qmenta Care Platform Family on June 16, 2021, classifying it as a software medical imaging system used to receive, organize, and store DICOM images and textual reports, making this information available across a network via web and customized user interfaces.

2021-06

qmenta.com

Cloud AI Medical Imaging Expert QMENTA, Inc. Announces FDA 510(k) Clearance of Platform at RSNA 2021

QMENTA announced on November 29, 2021, that the U.S. Food and Drug Administration (FDA) granted 510(k) clearance for its QMENTA Platform for Care, enabling qualified physicians to manage imaging and other data and process it using integrated AI applications for imaging analysis and reporting.

2021-11

fda.gov

Qmenta Care Platform Family - FDA 510(k) K202718

This FDA regulatory record, updated October 12, 2026, details the Qmenta Care Platform Family, listing Mint Labs, Inc., D/B/A. Qmenta as the applicant and Qmenta Imaging S.L. as the correspondent, with a regulation number of 892.205023.

2026-10

healthaicentral.com

Qmenta Care Platform Family - Health AI Central

QMENTA, founded by neuroscientists, offers three main product lines: Trials (for GxP-compliant clinical studies), Foundation (for AI development and deployment), and Legal (for traumatic brain injury litigation support), processing over 16 million images across 1.3 million subjects at 250+ imaging sites worldwide.

unknown

dokumen.pub

Concepts of Artificial Intelligence and Its Application in Modern Healthcare Systems

A publication from June 16, 2021, mentions the 'Qmenta Care Platform Family' in the context of artificial intelligence applications in healthcare, specifically regarding automatic anatomy recognition and AI segmentation.

2021-06

warrick.net

FDA 510(k) Applications for Medical Device Product Code: LLZ (System, Image Processing, Radiological)

This listing from Warrick.net, last updated in 2021, includes the Qmenta Care Platform Family among other medical devices with FDA 510(k) applications under product code LLZ (System, Image Processing, Radiological), indicating its regulatory status.

2021-06

Videos

Product demos, reviews, and walkthroughs for Qmenta Care Platform Family.

Fission Labs Clinical Trials Platform Development Services

Fission Labs Inc.

Patient Portal Use in the Age of COVID-19

Physician's Computer Company

View all on YouTube

Frequently Asked Questions

How does the QMENTA Care Platform Family utilize AI in neurology for physicians?

The QMENTA Care Platform Family uses AI to manage imaging data and apply AI-enabled tools for visualizing and quantifying insights into brain features and changes. It offers a catalog of over 50 AI algorithms focused on neurology, assisting with quantification and analysis for disease onset, progression assessment, diagnosis, and prognosis.

What are the compliance and regulatory standards met by the QMENTA Care Platform Family?

The QMENTA Care Platform Family is FDA 510(k) cleared as a Class II Medical Device for clinical use. It is also compliant with ISO 13485:2016, FDA Title 21 CFR Part 11 & 820, Annex 11, GxPs, GDPR, and HIPAA, ensuring data security and privacy.

Are there any known limitations or challenges when using the QMENTA Care Platform Family?

One reported limitation is a lack of flexibility in customizing the workspace, which some users feel can hinder the user experience. However, the platform is continuously being improved, and QMENTA offers expert support for customization.

How does the QMENTA Care Platform Family handle data security and patient privacy?

QMENTA's platform is hosted on a secure cloud infrastructure with built-in compliance and security certifications. It provides automated anonymization of uploaded imaging data, removing Protected Health Information (PHI) from DICOM files, and offers a tool to remove facial features from 3D anatomical images. Access is restricted to authenticated users with unique credentials, and two-factor authentication can be enforced.

How does the QMENTA Care Platform Family integrate with existing clinical workflows and EMR systems?

The QMENTA platform is designed to integrate into radiology workflows at hospital sites via PACS connection. It exposes open APIs, allowing integration of imaging data and queries with external Electronic Medical Record (EMR) systems, including Medidata Rave. This allows QMENTA to function as the imaging hub while the EMR remains the system of record for non-imaging clinical data.

What are the alternatives to the QMENTA Care Platform Family for neurology AI?

While QMENTA is purpose-designed for CNS with over 50 validated neuro-specific algorithms, alternatives exist depending on specific needs. For instance, Quibim offers cleared devices like QP-Brain for brain volumetrics, designed to integrate into hospital radiology workflows. Other general medical imaging and PACS solutions like Medicai, ProtonPACS, UltraLinq, and MedIQ also exist, though they may not have the same specialized focus on CNS AI.

How can physicians get pricing information for the QMENTA Care Platform Family?

QMENTA offers a quote-based pricing model. Physicians or organizations interested in the platform can fill out a form on their website to request a quote for their specific study or needs.

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Suggest an Edit → | Report an issue | Last Verified: 2026-04-18 | First Added: 2026-04-18