Emergency Scan
2–3 secondsCritical-only fast pass. The triage layer sweeps the volume and flags emergent findings within seconds, before a clinician opens the case.
First product · Abdominal CT
Project Atlas
An end-to-end clinical AI workstation for abdominal CT. Scans are triaged by emergency severity, run through a pathology and anatomy pipeline, and surfaced to the doctor as anatomy-validated, explainable findings inside a reviewable report.
What Atlas is
Most imaging AI detects one pathology. Atlas runs a six-pathology emergency triage layer, anatomy segmentation, a doctor-editable report, and a per-case AI chat, all in one viewer, built to deploy on hospital infrastructure, Europe-first.
How a scan moves
Triaged before a doctor opens it.
Cases load by importance. The most emergent scans rise to the top of the queue. Two passes run: a critical fast-pass and the full pipeline.
Full Analysis
20–30 secondsThe full pathology and anatomy pass. Findings are localized, organ masks built, anatomy cross-checks run, and a structured report drafted for review.
The viewer
Three tabs. One case context.
The viewer's right panel has three tabs: Analysis, AI Chat, and Report, all wired to the same findings, anatomy, and slice references.
Try it yourself. Click the tabs to explore each panel
URGENTUrgent findings detected
Critical (1)
Abdominal Aortic Aneurysm
High Confirm Reject+ Missed
Review (1)
Kidney Stone
ModerateOrgan segmentation · 22 structures · 105.4s
- Liver1310 mL
- Small Bowel746.3 mL
- Lung Lower Lobe Right620.1 mL
- Aorta372.2 mL
- Urinary Bladder256.5 mL
Why doctors trust it
Explainable, not a black box.
Explainability is the unlock. Doctors see why the model thinks what it thinks.
Similar-case explainability
Hover any finding and a grid of de-identified training cases appears: real CT slices showing the same pathology. Doctors don't have to trust an accuracy number; they see what the model learned from.
Anatomy-validation gate
Every finding carries a verified flag. Each detection is cross-checked against an organ mask and confirmed in the anatomically expected region. The gate is visible to the reader, not hidden in a pipeline.
Spatial, click-to-navigate
Bounding boxes on the slice view and click-to-jump on every finding card. Spatial navigation is built into the finding, not a separate step.
How a case moves
DICOM to reviewable report.
A case enters from hospital infrastructure and is surfaced back to the clinician as an editable, anatomy-validated report.
- 01DICOM ingestionFrom hospital infrastructure
- 02Volume preprocessingMulti-spectral windowing
- 03Pathology detectionSix-class localization
- 04Organ segmentationWhole-body anatomy masks
- 05Anatomy validationRegion cross-check
- 06Similar casesDe-identified references
- 07Structured reportClinical draft
- 08Clinician reviewEdit and sign-off
Locked clinical scope
Six abdominal emergencies.
- 01Abdominal Aortic Aneurysm
- 02Acute Pancreatitis
- 03Acute Cholecystitis
- 04Kidney / Ureter Stones
- 05Acute Diverticulitis
- 06Acute Appendicitis
Internal validation
Performance, shown as evidence.
Research-stage metrics from the Atlas abdomen CT manuscript, including external validation on a Stanford Merlin cohort. Kept separate from product, pilot, and demo claims.
Internal validation
Stanford Merlin cohort
Among detected cases
Strongest class
Run Atlas against your abdominal CT volume.
Atlas is a medical device. Every pilot is free until CE/MDR clearance. We are placing free reference pilots in EU and Turkey hospitals now.