Model outputs need a reliable path into the imaging workflow where they will be reviewed. ACANIO connects inference services, source-image references, and result display, delivering integration code and tests for the agreed model, archive, and viewer.
Discuss your project ↗ Explore who we help →Connect eligible imaging studies to an in-house or vendor inference service. Track input identifiers, job status, timeouts, and retries so the workflow can distinguish pending, completed, and failed processing.
Associate structured findings, segmentations, and contours with their source studies, series, and images. Map supported model outputs to the agreed DICOM SR, SEG, or RTSTRUCT representation and test viewer and archive compatibility.
Present findings, measurements, and segmentation overlays alongside the source images. Check spatial alignment, result provenance, and supported display controls while keeping review decisions with the clinician.
Build annotation and review interfaces, including MONAI Label integration, where reviewers can accept, reject, or modify model results. Capture corrected annotations and feedback for model training workflows, and compare outputs with reference annotations. Preserve model and result versions for repeatable engineering checks; clinical validation criteria remain with your clinical team.
Consider a synthetic CT study and a model that returns a segmentation with measurements. The integration needs to preserve the relationship between each result and its source images, then present that result for review.
Deliverables can include an inference adapter, result mapping, viewer integration, and recovery tests. Clinical acceptance criteria and any required regulatory assessment must be defined with the responsible clinical and product teams.
See the DICOMweb viewer integration sequence for source-image access and HL7/FHIR integration for downstream clinical data exchange.
Route studies to an in-house or vendor model, return DICOM SR, SEG, RTSTRUCT, boxes, or JSON, and render them in the reading view with the clinician in control. We begin with your workflow and integration constraints, then design, implement, review, and hand over maintainable software.
How we work ↗Tell us what you are building and which systems need to work together.
Discuss your project ↗Please do not send patient information or other sensitive health data.