Written by Zineb Chahbouni From June 24 to 26, QuantumSpace took part in WMF – We Make Future 2026 in Bologna, one of Europe’s largest and most established...
QLens: A New Way of Seeing Medical Data.
Partnered with leading companies & researchers
QLens helps Medical Teams review imaging with speed, consistency, and confidence.
Medical imaging generates a huge amount of visual information every day, but reviewing that information still depends heavily on time, concentration, memory, and manual comparison. QLens is purpose-built medical image analysis software that changes this, automating the comparison work so clinicians can focus on judgment rather than detection.
QLens applies longitudinal medical imaging AI to compare studies across time, highlights meaningful visual changes, and explains what has changed in clear semantic terms, while leaving diagnosis and clinical judgment exactly where they belong: with the physician.
How it Works
Ingest & Align
QLens accepts imaging studies in multiple formats and automatically organizes them for consistent comparison across time and modality. The system performs multimodal imaging alignment, normalizing acquisition metadata and correcting differences in orientation, scale, and resolution, ensuring that side-by-side comparisons reflect true anatomical changes rather than technical inconsistencies.
Detect & Localize
Medically tuned visual models apply medical imaging change detection across aligned studies, identifying and localizing meaningful differences. The system segments regions of interest, measures change metrics (size, intensity, texture) and prioritizes findings by clinical relevance, presenting layered visual annotations so clinicians can verify exact pixels behind each flagged change.
Explain & Archive
For every detected change, QLens produces concise, human-readable semantic explanations linked to the visual evidence, consistent with its explainable AI radiology design, while leaving final interpretation to the physician. All comparisons, annotations and reviewer decisions are stored in a medical imaging audit trail to support longitudinal review, collaboration and compliance audits.
Key Features
QLens brings together a compact set of capabilities for AI-assisted image review in clinical settings: normalizing and aligning multimodal studies, highlighting and quantifying meaningful visual differences, producing clear, human-readable explanations tied to the image evidence, and preserving every review action in a secure, auditable record.
Built for Every Clinical Reality
QLens helps clinicians identify relevant differences in seconds and place them in context. This supports more consistent review workflows across specialties, departments, and institutions, functioning as an automated radiology workflow tool that integrates without requiring changes to existing reading room processes.
From Comparison to Comprehension
The platform highlights areas that have changed over time and adds an explainable semantic layer to the comparison. The goal is not diagnosis automation, but clearer understanding of visual evolution.
Explainable AI for Medical Professionals
Human-centered medical AI is increasingly framed around transparency, user understanding, and the ability to inspect how an output was generated, rather than around black-box automation. This is the standard QLens upholds through its explainable AI radiology design, producing AI medical imaging annotations for every flagged region so clinicians
A Safeguard for Institutions and Practitioners
QLens creates a history, preserving comparisons, annotations and variations over time within a complete medical imaging audit trail. It supports reporting, collaboration, second opinions, longitudinal medical imaging AI workflows, compliance and audit trails.
Inquire About QLens
Frequently Asked Questions
What is QLens and how does it differ from a standard DICOM viewer?
QLens is medical image analysis software built specifically for longitudinal comparison. Unlike a standard DICOM viewer, which displays images passively, QLens actively detects and localizes visual changes between studies, generates semantic explanations for every flagged difference, and logs every review action into a tamper-evident audit trail. It is designed to support clinical judgment, not replace it.
Does QLens make diagnoses?
No. QLens is an explainable AI radiology tool, not a diagnostic system. It detects and explains visual changes across longitudinal imaging studies, presenting findings with saliency maps and semantic summaries. All clinical judgment and final interpretation remain with the physician. QLens is designed to reduce the cognitive load of comparison, not to substitute clinical expertise.
What imaging modalities does QLens support?
QLens supports multimodal imaging alignment across CT, MRI, X-ray, and PET studies. The system normalizes acquisition metadata and corrects for differences in orientation, scale, and resolution across modalities, ensuring that side-by-side comparisons reflect true anatomical changes rather than technical inconsistencies between acquisitions.
How does QLens support compliance and institutional audit requirements?
QLens functions as medical imaging audit trail software, storing every comparison, annotation, and reviewer decision in a tamper-evident case history. This record supports longitudinal review, second opinions, regulatory reporting, and compliance audits without requiring manual documentation from clinical staff.
Does QLens integrate with existing radiology workflows and PACS systems?
Yes. QLens is designed as an automated radiology workflow tool that integrates into existing clinical systems without requiring changes to established reading room processes. It accepts imaging studies in standard formats and is compatible with PACS environments, minimizing implementation friction for radiology departments and institutions.