FOR HOSPITALS & IMAGING CENTERS

Clinical progress.
Built in collaboration.

We’re looking for conversations with radiology departments, imaging centers and research groups to help define useful AI assistance and a responsible evaluation path.

HUMAN EXPERTISE. INTELLIGENT ASSISTANCE.LUNG CT / 01
Medical professionals reviewing images at a clinical imaging workstation
A shared perspective on useful imaging intelligence.Illustrative photography · Accuray / Unsplash

THE QUESTIONS WE WANT TO EXPLORE

A fit for the whole workflow.

01

Workflow fit

Where a second-reader experience could support review without creating unnecessary steps.

02

Scalable assistance

How analysis and candidate review might accommodate different study volumes and operating contexts.

03

Future interoperability

PACS/RIS connectivity, study handling and data governance requirements for prospective integration.

04

Deployment flexibility

Infrastructure needs and possible deployment approaches, to be scoped rather than assumed.

A POSSIBLE COLLABORATION PATH

Start with the clinical question.

Each prospective collaboration would be scoped with the institution. No existing partners or integrations are represented here.

01

Listen

Discuss your clinical setting, workflow, review needs and research interests.

02

Define

Agree on an evaluation question, reference data, governance and appropriate approvals.

03

Evaluate

Plan a research evaluation, characterize limitations and review the findings together.

A CLEAR STARTING POINT

Development first. Evidence next.

The platform is in development. Clinical validation is planned. Any research pilot or future clinical deployment would require a defined scope and applicable institutional and regulatory requirements.

Read our evaluation priorities

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.