AIMedicRequest a demo
Reads the scan · writes the report

AI-native medical
imaging —
from pixels to signed report.

Vision AI surfaces findings inside the radiologist's viewer. Reporting Assistant turns dictation into a structured, signed report. One DICOM-native, sovereign platform.

Request a demoExplore the platform →
TRUSTED TO CLINICAL STANDARDS[FILL: clearance / cert logo][FILL: clearance / cert logo][FILL: clearance / cert logo]
▮ VISION AI · BRAIN CT · NCCTAXIAL · 30 SLICES
Brain CT sliceBrain CT sliceBrain CT sliceBrain CT sliceBrain CT sliceBrain CT sliceBrain CT sliceBrain CT sliceBrain CT sliceBrain CT sliceBrain CT sliceBrain CT sliceBrain CT sliceBrain CT sliceBrain CT sliceBrain CT sliceBrain CT sliceBrain CT sliceBrain CT sliceBrain CT sliceBrain CT sliceBrain CT sliceBrain CT sliceBrain CT sliceBrain CT sliceBrain CT sliceBrain CT sliceBrain CT sliceBrain CT sliceBrain CT slice
Intracranial hemorrhage · conf 95.8%
R
SLICE 01/30
WL 40 · WW 80
1 FINDING · ICH
R CCR CC
L CCL CC
Cluster · BI-RADS 4
R MLOR MLO
L MLOL MLO
1 FINDING · L-CC
Real de-identified study · click Analyze with AI to run findings · drag to scrub
The pressure on radiology

Imaging volumes keep climbing. Radiologists don't. The bottleneck isn't the scan — it's everything between the scan and the signed report.

Every extra minute per study compounds into slower turnaround, delayed diagnoses, and burnout. AIMedic compresses that gap — reading and reporting in the same workflow your team already uses.

STUDY VOLUME GROWTH
[FILL: qualitative / stat]
REPORT TURNAROUND
[FILL: qualitative / stat]
RADIOLOGIST SUPPLY
[FILL: qualitative / stat]
The platform · AI-PACS

The intelligent imaging layer

AI-PACS modernizes traditional PACS: a DICOM-native platform with the OHIF viewer your radiologists already know, an ML hub that runs image AI on demand, and a reporting engine that turns voice into signed documents. Two products plug into one workflow.

DICOM-nativeOHIF viewerdcm4chee PACSSovereign / on-prem
ARCHITECTURE · MICROSERVICES
AUTH
Identity · JWT · RBAC
MLH
ML Hub · runs image AI
VHS
Viewer Helper Service
MRP
Report Platform · voice→PDF
PostgreSQL·MongoDB·Redis·MinIO·Elasticsearch
Vision AI

AI that reads the scan

Findings surface right inside the radiologist's viewer — requested on demand, cached, and drawn over the study. Multi-modal: MG · CT · MRI.

Mammogram L CC
CONTOUR · BI-RADS 4
MG · L CC
MODULE 01 · MAMMOGRAPHY

Finding detection + BI-RADS

AI-powered analysis contours abnormalities and returns standardized BI-RADS scoring, delivered in-viewer with MG hanging protocols.

Brain CT
SEGMENT · ICH
NCCT · AXIAL
MODULE 02 · BRAIN CT

Non-contrast head CT triage

Detects and segments intracranial hemorrhage plus hyper-dense and hypo-dense lesions, with precise volume calculation and worklist triage for time-critical strokes.

MAMMOGRAPHY · CANCER DETECTION
SENSITIVITY
87%
SPECIFICITY
94%
AUC
0.92
READER-TIME ↓
70%
MAMMOGRAPHY MODELS
MODELAUCSPECSENSCancer detection0.920.940.87Breast composition0.90
BRAIN CT ALGORITHMS
ALGORITHMSENSSPECDICEHyper-dense0.9140.8280.668Hypo-dense0.920.7710.525ICH0.9580.975
Model governance — expert annotation · blinded arbitration · audited datasets · object-detection eval.
Reporting Assistant

AI that writes the report

● DICTATION · MEDICAL ASR

Clinician speaks; the system transcribes and structures in real time.

"...large heterogeneous hyperdensity in the right basal ganglia"
STRUCTURED REPORT · ACR TEMPLATE
v3 · auto-saved
MODALITY / BODY PART
CT Head without contrast
FINDINGS
Hyperdense collection in the right basal ganglia with surrounding hypodensity. No midline shift [FILL: confirm].
IMPRESSION
Findings compatible with acute intraparenchymal hemorrhage.
INSTITUTION · SIGNATURE
[FILL: institution logo][FILL: radiologist]
✓ SIGNED · PDF
ACR-compliant templatesVersioned editingPDF exportMedStruct · voice doc editingNative iOS appInside PACS or standalone
DICTATION-TIME SAVED
[FILL]
ACCURACY / WER
[FILL]
LANGUAGES
[FILL]
How it works

From acquisition to signed report

01
Acquire DICOM
Study arrives from the modality into the DICOM-native archive.
02
AI analysis
The ML Hub runs Vision AI and caches findings.
03
Radiologist review
Findings overlay the study in the OHIF viewer.
04
Voice-to-report
Dictation becomes a structured, ACR-compliant report.
05
Sign & share
Signed, branded PDF shared via secure links.
Why AIMedic

One platform, five reasons to trust it

01 · CORE DIFFERENTIATOR

Reads and reports

Image AI and voice reporting in one system — the whole path from pixels to a signed document, not two disconnected tools.

02

DICOM-native & PACS-integrated

Drops into existing workflow via OHIF viewer and dcm4chee.

03

Trustworthy AI data

Expert-annotated, blindly-arbitrated, audited datasets — not scraped data.

04

Sovereign / on-prem

Data stays in the institution — multi-tenant, RBAC, encrypted, audited.

05

Standards-first

DICOM, BI-RADS, ACR-compliant reporting throughout.

[FILL]
STUDIES ANALYZED
12
DEPLOYED SITES
70%
READER-TIME REDUCTION
95.8%
DETECTION SENSITIVITY · ICH
Security & compliance

Built for PHI, from day one

Every layer is designed for the trust a medical institution requires — deployed inside your walls when you need it.

CERTIFICATIONS[FILL: ISO 13485][FILL: ISO 27001][FILL: HIPAA / GDPR]
Multi-tenant isolation
Row-level security; complete institution-level data separation.
JWT + RBAC
Refresh-token rotation; granular role permissions.
Encrypted everywhere
At rest and in transit over TLS.
Full audit logging
HIPAA-aligned PHI controls; minimum-necessary access.
Request a demo

Bring AI into your
reading room.

See Vision AI and Reporting Assistant on your workflow. We'll tailor the walkthrough to your modalities and PACS.

We respect PHI — no patient data in this form.