Bring in the study
The intended workflow begins with a chest CT study. Ingestion and clinical connectivity are under development.
THE PLATFORM
An AI-assisted lung CT review platform in development. Designed to bring potential pulmonary nodules into focus, while keeping the radiologist at the center.

FROM STUDY TO ASSESSMENT
Three complementary stages. One connected review experience.

A detection agent is being developed to examine chest CT images and identify potential pulmonary nodule candidates.
Potential findings brought into viewTHE PROPOSED END-TO-END WORKFLOW
From CT ingestion to clinician feedback, we’re designing each stage to serve the review.
The intended workflow begins with a chest CT study. Ingestion and clinical connectivity are under development.
A detection agent is being developed to surface potential pulmonary nodule candidates across the study.
The planned verification layer assesses candidate regions to help distinguish useful suggestions from unnecessary findings.
The interface is designed to connect every candidate to its location, with the original study available for assessment.
Accept or dismiss suggestions. Clinical interpretation and responsibility remain with the radiologist.
Structured review feedback is a planned input to product improvement, with data governance to be agreed before evaluation.
THE DESIGN PRINCIPLES
Candidate regions and clear review states make the AI contribution visible.
Study context, image navigation and candidate review in a connected interface.
A suggestion is an invitation to review. It does not establish a diagnosis.
Future interoperability and deployment options will be evaluated with clinical partners.
The interface illustrates our product direction. Features, integrations and clinical performance are subject to development and validation.
LET’S BUILD THE NEXT CHAPTER
We’re looking to collaborate with radiologists, imaging centers
and clinical research partners.