Medical Imaging AI

AI That Reads Images As Well As Your Best Radiologist.

Zabrizon's medical imaging AI platform delivers DICOM-native AI inference for radiology triage, anomaly detection, and structured report generation — reducing radiologist workload by 40% and prioritising critical findings.

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DICOM-native AI inference — no image preprocessing required
Multi-modality: CT, MRI, X-ray, ultrasound, and mammo
Critical finding prioritisation with <5 second triage
Structured radiology report auto-generation
FDA 510(k) cleared models for priority indications
HL7 FHIR integration with any RIS/PACS system
40%
Reduction in radiologist reporting time
97.3%
Sensitivity for critical finding detection
<5sec
Triage-to-alert for critical findings
30+
Imaging AI models by modality and indication
HealthTech Platforms

Medical Imaging AI Platform Capabilities

Production-ready imaging AI that integrates seamlessly into radiology workflows.

Radiology Triage & Critical Finding Detection

AI prioritisation of imaging queues — surfacing critical findings (pneumothorax, pulmonary emboli, intracranial haemorrhage) within seconds for immediate radiologist attention.

Critical Finding AIQueue PrioritisationCT TriageChest X-ray AI
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Anomaly Detection & Measurement

Deep learning anomaly detection across CT, MRI, and X-ray — with automated lesion measurement, organ segmentation, and longitudinal comparison for follow-up studies.

Lesion DetectionOrgan SegmentationLongitudinal AIAuto-Measurement
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Structured Radiology Report Generation

AI-assisted structured report generation from image analysis findings — pre-populating RADS categories, measurements, and impression language for radiologist review and sign-off.

Report GenerationRADS ClassificationNLP ReportingDICOM SR
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Technical Differentiators for Medical Imaging AI

Imaging AI built for clinical production environments — not research demos.

DICOM-Native Processing

Direct DICOM file ingestion via DICOMweb and DIMSE — no preprocessing pipeline, no JPEG downsampling, no loss of diagnostic quality.

FDA 510(k) Cleared Models

Multiple FDA-cleared AI models for high-priority imaging indications — with regulatory documentation available for HealthTech OEM partnerships.

On-Premise GPU Deployment

Imaging AI deployable on on-premise GPU hardware in hospital data centres — meeting data residency and PACS security requirements.

RIS/PACS Integration

Pre-built connectors for major RIS/PACS systems including Sectra, Intelerad, and Philips IntelliSpace — with HL7 FHIR and ORM/ORU support.

Imaging AI Regulatory & Compliance Standards

Medical imaging AI that satisfies FDA, hospital security, and DICOM standards.

FDA 510(k) Clearance
Regulatory clearance for AI-based medical image analysis devices
DICOM 3.0 Standard
Full compliance with Digital Imaging and Communications in Medicine standards
HIPAA / HITECH
Medical imaging PHI protection with access controls and audit logging
ACR AI Imaging Standards
American College of Radiology AI practice guidelines compliance
HL7 FHIR ImagingStudy
FHIR-based imaging resource integration for EHR connectivity
ISO 13485
Quality management system for medical device software development

Ready to Embed Medical Imaging AI Into Your Radiology Platform?

See how Zabrizon's DICOM-native AI accelerates radiology reporting and improves diagnostic outcomes.

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