QMENTAInc

QMENTAInc QMENTA offers AI cloud-native software solutions for Imaging in

QMENTA is a global AI tech company offering cloud-native software solutions for in . Our customizable platform integrates 5 solutions in one single system, eliminating human errors, for faster and more accurate decision-making.
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  compliance in   involves much more than keeping files secure.From PHI and de-identification to data transfers, access ...
08/26/2026

compliance in involves much more than keeping files secure.

From PHI and de-identification to data transfers, access controls and audit trails, compliance needs to extend across the entire imaging workflow.

Our latest practical guide breaks down the key considerations for teams working with medical imaging data.

Read it here: https://www.qmenta.com/blog/hipaa-compliance-in-medical-imaging-a-practical-guide

How many images are enough to train a medical imaging AI model?There is no fixed answer. Dataset size depends on the tas...
08/20/2026

How many images are enough to train a medical imaging AI model?

There is no fixed answer. Dataset size depends on the task, model architecture, label quality, disease prevalence, and the diversity of scanners, sites, protocols, and patient populations.

Our latest article explains how learning curves, coverage matrices, and evidence-based validation calculations can help teams determine what data they actually need.

Because a bigger dataset is not necessarily a better dataset.

Read the article: https://www.qmenta.com/blog/how-much-data-do-you-need-to-train-a-medical-imaging-ai-model

The most expensive imaging archive may be the one that makes you recreate work you have already paid for.Clinical trial ...
08/06/2026

The most expensive imaging archive may be the one that makes you recreate work you have already paid for.

Clinical trial scans can be securely stored and fully compliant, yet remain extremely difficult to reuse. The images may be in one system, annotations with another vendor, clinical data in the EDC, and processing outputs on a project server.

Our latest article explores how pharmaceutical and medical AI teams can turn archived imaging into searchable, governed, AI-ready data for future research, model development, and better study planning.

Read the article:
https://www.qmenta.com/blog/your-imaging-archive-might-be-the-most-expensive-thing-your-company-will-never-use-again

Your fifth QC step may not be catching more errors. It may simply be adding time.When imaging teams repeatedly review th...
08/05/2026

Your fifth QC step may not be catching more errors. It may simply be adding time.

When imaging teams repeatedly review the same data, QC becomes duplicated work. Queries accumulate, feedback reaches sites too late, and trial timelines stretch.

The goal is not less quality control. It is to catch problems earlier, automate repeatable checks, and focus expert attention where judgment is genuinely needed.

Our latest article explains how to identify when additional QC is protecting your trial and when it is creating unnecessary delays.

Read it here: https://www.qmenta.com/blog/your-fifth-qc-step-isnt-catching-more-errors-its-just-adding-time

Response assessment in neuro-oncology is evolving.With the introduction of RANO 2.0, growing adoption of AI-assisted ima...
07/16/2026

Response assessment in neuro-oncology is evolving.

With the introduction of RANO 2.0, growing adoption of AI-assisted imaging, and increasing regulatory expectations, imaging teams need workflows that are not only accurate, but also scalable, traceable, and built for longitudinal studies.

In our latest article, we explore:
• What RANO 2.0 changes for clinical trials
• Where AI can improve consistency and efficiency
• Why imaging infrastructure is becoming just as important as image interpretation

Read the full article: https://www.qmenta.com/blog/how-rano-2.0-and-ai-are-reshaping-neuro-oncology-clinical-trials

Clinical trials are built around patients—not individual scans.Yet many imaging review workflows still treat every timep...
07/14/2026

Clinical trials are built around patients—not individual scans.

Yet many imaging review workflows still treat every timepoint as an isolated event, making it harder to maintain consistency, reduce operational burden, and see the full clinical picture.

In our latest article, we share five key reasons why longitudinal imaging workflows need a new approach and why complete patient timelines are becoming essential for modern neuro-oncology clinical trials.

Read the article: https://www.qmenta.com/blog/5-reasons-longitudinal-imaging-workflows-need-a-new-approach

The QMENTA team is heading to  .Our CEO, Vesna Prchkovska, and CTO,  Paulo Rodrigues, will be attending the Alzheimer's ...
07/09/2026

The QMENTA team is heading to .

Our CEO, Vesna Prchkovska, and CTO, Paulo Rodrigues, will be attending the Alzheimer's Imaging Consortium on July 11 and AAIC from July 12–15.

We're looking forward to discussions on imaging biomarkers, AI, and the operational realities of running multi-site neuroimaging studies.

If you'll be in London and would like to discuss imaging infrastructure, AI, or clinical trial imaging workflows, send us a message; we'd be happy to arrange a time to meet.

Today's the day.Join Aly H. Abayazeed, and Paulo Rodrigues, for a live demonstration of how to automatically build a com...
06/25/2026

Today's the day.

Join Aly H. Abayazeed, and Paulo Rodrigues, for a live demonstration of how to automatically build a complete subject timeline from scattered neuroimaging timepoints.

See how QMENTA Central Review helps imaging teams:
• Consolidate longitudinal imaging data into a single subject view
• Navigate between timepoints with one click
• Review the full subject journey more efficiently

📅 Today
⏰ 2:00 PM ET | 6:00 PM CEST

There's still time to register:
https://neuroimaging.qmenta.com/webinar/from-scattered-neuroimaging-timepoints-to-one-table-how-to-build-the-full-subject-timeline-automatically

Imaging data plays a critical role in many clinical trials, but managing image review workflows across sites, readers, a...
06/23/2026

Imaging data plays a critical role in many clinical trials, but managing image review workflows across sites, readers, and sponsors can quickly become complex.

QMENTA Central Review brings image review, adjudication, discrepancy management, and audit trails together in a single platform designed for clinical research teams.

Learn more about the launch and why real-time oversight is becoming increasingly important in imaging-based studies:

https://www.qmenta.com/blog/qmenta-launches-central-review-in-line-with-fda-real-time-clinical-trials-requirements-for-imaging

A great morning at the Hospital de Sant Pau Health Hub, one of Barcelona's most vibrant hubs for health innovation.Thank...
06/15/2026

A great morning at the Hospital de Sant Pau Health Hub, one of Barcelona's most vibrant hubs for health innovation.

Thank you to Montse Barceló for hosting us and giving the team a tour of the ecosystem, along with introductions to several companies working across digital health, clinical research, and healthcare innovation.

Always valuable to connect with organizations tackling different challenges across healthcare and research, while contributing to the growing health innovation community in Barcelona.

Address

1 International Place, Suite 3700
Boston, MA
02110

Opening Hours

Monday 9am - 6pm
Tuesday 9am - 7pm
Wednesday 9am - 7pm
Thursday 9am - 6pm
Friday 9am - 6pm

Telephone

+13393688040

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