Written by Francesco Rocchi and Leonardo Viola Medical image analysis is currently undergoing one of its most transformative eras, where artificial...
Lens: A New Way of Seeing Medical Data.
Partnered with leading companies & researchers
Lens 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.
Lens compares images 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
Lens accepts imaging studies in multiple formats and automatically organizes them for consistent comparison across time and modality. The system normalizes acquisition metadata and corrects 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 analyze aligned studies to detect and localize 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, Lens produces concise, human-readable semantic explanations linked to the visual evidence while leaving final interpretation to the physician. All comparisons, annotations and reviewer decisions are stored in a tamper-evident case history to support longitudinal review, collaboration and compliance audits.
Key Features
Lens brings together a compact set of capabilities to fit real clinical workflows: normalizing and aligning multimodal studies, highlighting and quantifying meaningful visual differences, producing clear, humanreadable explanations tied to the image evidence, and preserving every review action in a secure, auditable record.
Built for Every Clinical Reality
Lens helps clinicians identify relevant differences in seconds and place them in context. This supports more consistent review workflows across specialties, departments, and institutions.
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.
A Safeguard for Institutions and Practitioners
Lens creates a history, preserving comparisons, annotations and variations over time. It supports reporting, collaboration, second opinions, longitudinal review, compliance and audit trails.
