FOR RADIOLOGISTS

Your expertise.
A little more perspective.

You bring the experience, the clinical context and the judgment. We’re building a second-reader experience to support the care and attention you already bring to every study.

HUMAN EXPERTISE. INTELLIGENT ASSISTANCE.LUNG CT / 01
Medical professionals reviewing images at a clinical imaging workstation
Clinical expertise is the starting point.Illustrative photography · Accuray / Unsplash
OUR DESIGN COMMITMENT

Every suggestion
is yours to assess.

AI findings should be visible, understandable and easy to review. Your interpretation remains the final one.

BUILT AROUND YOUR REVIEW

An assistant with a clear role.

01

Candidates in context

Move from a suggestion to its location in the CT study.

02

A focused review

A considered candidate list, designed to support attention.

03

You remain in control

Inspect, accept or dismiss. The interpretation is yours.

04

Reviewable AI assistance

Visible regions and clear review states, rather than a hidden verdict.

WHAT YOU WOULD SEE

The candidate. The context. Your call.

Select a candidate in the illustrative workspace, inspect its location, and try the accept and dismiss controls.

Lung CT / Review workspace
Analysis preview
STUDY
Chest CTAxial series
DEMO
Illustrative axial chest CT showing both lungs; displayed annotations are fictional
01AI candidate
ARLP
DEMO-001 · FICTIONAL STUDYWL −600 / WW 1500
50 mm
Slice 142 / 284
Illustrative series navigation

A product concept with fictional annotations, confidence labels and study identifiers. The controls demonstrate interaction design; they do not analyze the image.

A FEW IMPORTANT DISTINCTIONS

Clarity before adoption.

Does the system make a diagnosis?

No. The intended role is to present pulmonary nodule candidates for radiologist review. Clinical interpretation, reporting and decisions remain with the clinician.

Is the platform ready for clinical use?

The platform is in development. Clinical performance has not been published, and the site does not claim regulatory authorization. Any clinical use would depend on appropriate validation and applicable regulatory requirements.

What does AI confidence mean here?

The confidence labels in the demo are fictional interface examples. In a validated product, a candidate score would need clear interpretation and documented limitations. It would not be a probability of cancer.

Will it integrate with our existing systems?

PACS/RIS interoperability and deployment flexibility are design directions. Specific integrations are not available or promised by this website; they will be scoped with prospective partners.

How can radiologists shape the product?

We welcome conversations about candidate presentation, review burden, clinical evaluation and workflow fit. The first step is a discussion about your setting and research interests.

Help shape the clinical perspective

LET’S BUILD THE NEXT CHAPTER

A conversation today.
A clearer view tomorrow.

We’re looking to collaborate with radiologists, imaging centers
and clinical research partners.