Radiology AI — Chest CT Annotation

The scan arrives pre-read. You confirm.

Neurmorph pre-annotates chest CT scans before the radiologist opens them — flagging nodules ≥2mm, measuring in 3 planes, estimating density and growth rate. The read becomes a confirmation, not a 40-second search.

~38 sec
avg time saved per scan
2mm
minimum nodule flagged
94%
annotation accuracy on chest CT
<0.8s
annotation latency per series

Radiologists read 70+ scans a day. Every minute of hunt time is a minute of diagnostic time lost.

A busy radiology department processes hundreds of chest CTs daily. On each study, the radiologist spends 25–40 seconds just locating the finding, placing calipers, pulling up the prior, and filling in boilerplate report fields — before any diagnostic judgment begins.

That's 30–45 minutes of a 6-hour session spent on mechanical steps. Neurmorph is not a triage alert tool. It doesn't interrupt the workflow with notifications. It pre-annotates every scan quietly so the measurements are already there when the radiologist opens the viewer.

Radiologist read session — time allocation
Locate finding
Measure
Compare to prior
Diagnose
Report

Neurmorph eliminates: Locate finding + Measure

PACS integration. No installation. Annotations waiting before you open the viewer.

01
Scan arrives in PACS

New study queued in your existing PACS or RIS — no workflow change.

02
Neurmorph processes in <1 second

AI analyzes the series, identifies findings, measures dimensions, estimates density and growth rate from prior comparables.

04
Confirm or override

Accept, adjust, or dismiss each annotation. Report generates with pre-filled structured data.

Built for the chest CT reader. Expanding to MRI and abdomen.

Pulmonary nodule detection
Flags nodules ≥2mm, measures diameter in 3 planes, assigns Fleischner category estimate. Pre-populates Lung-RADS fields.
Prior comparison
Automatically loads the prior series from PACS and measures growth rate delta. No manual prior-pull.
Structured report pre-fill
Annotated findings mapped to RadReport template fields. Radiologist edits, not starts from blank.
PACS-agnostic DICOM SR
Delivers results as DICOM Structured Report — works with Epic Radiant, Sectra, Intelerad, Fuji Synapse, and others.
Annotation types — chest CT
NODULE Pulmonary nodule ≥2mm — 3-plane measurement
PLEURAL Pleural effusion — bilateral presence flag
MEDIASTINAL Mediastinal contour — widening detection
GROWTH Prior delta — mm/year growth rate estimate
DENSITY Hounsfield unit sampling — tissue characterization

From the reading room.

The 2mm nodule was already circled when I opened the chest CT. I confirmed, adjusted the measurement by 0.3mm, moved on. That case took me 4 minutes instead of 8.

Dr. S. Patel
Thoracic Radiologist — Midwest imaging center

We process 340 chest studies on a busy Tuesday. Getting Neurmorph to pre-screen before overnight reads meant our overnight radiologist caught two incidental aortic findings that are easy to miss when you're fatigued and 200 studies deep.

Dr. M. Chen
Radiology Department Head — Regional hospital network

Drops into your existing stack. No new viewer, no IT project.

Neurmorph connects via DICOM DIMSE or DICOMweb. Sends DICOM SR back to your PACS. No HL7 integration required for basic operation. Typical deployment: 2-hour IT session.

Epic Radiant
Sectra IDS7
Intelerad
Fuji Synapse
Carestream Vue
Ambra Health