QMENTA Platform

The most advanced medical imaging data management and analysis

What we do

QMENTA offers a powerful cloud-based imaging platform for Research, Clinical Trials, and Clinical care. The system is made for the easy aggregation, management, standardization, and sharing of all medical imaging and other non-imaging related data.

Whether for a small single site research project, a large multi-centered clinical trial, or the support/replacement of the complete imaging infrastructure in a clinical setting, QMENTA’s scalable platform offers the ability to efficiently streamline all imaging workflows. It drastically reduces the need to invest in local resources and saves huge amounts of time for clinicians and researchers.

Furthermore, the platform simultaneously incorporates a huge range of state-of-the-art AI algorithms, allowing for rapid and highly accurate image analysis to produce quantifiable metrics to effectively assess change over time.

DATA COLLECTION AND MANAGEMENT

Data Privacy and Regulatory Compliance

QMENTA’s platform is hosted on a cloud provider infrastructure that provides built-in compliance and security with top industry certifications including FDA 21 CFR Part 11 & 820, Annex 11, GDPR, IEC 62304, ISO 13485:2016 and HIPAA.

QMENTA helps to ensure data privacy and regulatory compliance with integrated de-identification, from within the centers´ firewall - automated removal & replacement of DICOM tags, offset dates and image de-facing.

The privacy of patients’ Protected Health Information (PHI) is respected at all times with automated anonymization and end-to-end encryption of all uploaded imaging data.

Support Different Data Types

QMENTA’s platform can manage Multi Modal data: MRI, PET, CT, OCT, EEG.

Also, it can accept data and analyze it in a range of different formats, including: DICOM, NifTi, JPEG, PNG, TIFF, VIDEO.

Each subject's session, besides the uploaded files, can be extended with additional data (metadata and clinical measurements) of a different type such as integer, decimal, text single-choice option list, etc.. All these metadata parameters can be defined on a project level by using the Metadata Manager.

Automated Recognition

Upload, classify and anonymize large amounts of imaging data from different locations in just one click.

Auto-tag files with our machine learning classifier to recognize the modality (MR, CT, PET, etc.) and the sub-modality (T1, T2, DTI, etc.) of the image upon upload.

Flexible Integration

QMENTA enables flexible digital data integration with PACS, EDC or eCRF through the API with the option to anonymize the data before it leaves the local server or when it arrives to the platform.

Secure, Simple Collaboration

Add collaborators from anywhere in the world in seconds. Assign collaborators with optional predefined user roles and manage privileges with secure access controls.

Automatic QC / Protocol Adherence

QMENTA provides an automated Protocol Adherence which validates the type of image, in accordance with pre-defined parameters.

For Research projects, it streamlines and increases the quality of data collection for machine learning tools.

For Clinical Trials, it reduces the likelihood of imaging data diverging from the defined protocol and affecting the analysis thanks to our automated real-time notifications.

DATA ANALYSIS

Visualisation

QMENTA’s platform provides multiple options to visualise, measure, classify and annotate medical image data.

It provides the perfect streamlined solution for collecting and annotating medical imaging data for machine learning projects.

Streamlined Central Reading

Radiologists can use the built-in clinical viewer to visually interpret imaging data in one centralized space, accessible from anywhere in the world.

The platform notifies readers through tasks and worklists when a read is required.

Automated Objective and Quantitative Measurements

Use our variety of biomarkers to extract objective and quantified measurements for a specific disease, in minutes. Choose between local or external biomarkers. Visit our tools catalogue for more detailed information.

to the tools catalog

SDK

Researchers can use the Software Development Kit (SDK) to easily develop, test and run their own algorithms in a scalable cloud. SDK also allows commercial third party developers to plug in image processing algorithms for any body part.

Algorithms and workflows deployed through the QMENTA platform can be quickly shared with the imaging community. The SDK facilitates the development of an ecosystem of image processing tools for a wide range of applications.

to the sdk documentation

Testimonials

QMENTA solutions fill a significant unmet need for all researchers and clinicians working with imaging. In imaging studies from patients with Multiple Sclerosis, their solution for obtaining the brain connectome, quantifying brain damage and relating it with clinical scores is outstanding, and it is going to solve many clinically relevant questions. In addition, I envision QMENTA's solutions are going to be extremely useful in clinical practice and for conducting clinical trials developing new drugs for MS

Pablo Villoslada Diaz, MD, PhDSenior Researcher IDIBAPS; Founder & Scientific Advisor Bionure; Adjunct Professor UCSF

My lab has been working with QMENTA primarily for developing a new treatment for Down syndrome using MRI at pre-clinical validation with mice models. Their platform is necessary to accelerate the discoveries in the field and will have a very large impact. The platform that they provide is a great tool for data management and processing. It is very flexible and efficient, providing quick answers to our research questions. We feel very comfortable and satisfied to work with the team, given their scientific approach that turns their product as a partner, rather than just a tool.

Mara Dierssen, MD, PhDSystems Biology Program at a large center for genomics investigations

This technology changes dramatically the way we understand these diseases, and help us determine which parts of the brain are not working properly. We are using these quantification tools to detect easier which brain regions are damaged and help us find better and personalized treatments for our patients.

Angels García-Cazorla, MD, PhDHospital Sant Joan de Déu

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