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
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