In Active Development

RadiAIx — AI for Medical Imaging

Africa has a critical shortage of specialist radiologists. A scan can sit in a queue for hours before anyone reviews it. RadiAIx screens incoming scans automatically and flags urgent cases — so the clinician focuses first on what matters most.

These are actual outputs from our AI models — not illustrations. The green overlays and labels are generated by the model, not drawn by hand.

CT brain scan with AI-detected intracranial hemorrhage marked in green
CT Scan

Intracranial Hemorrhage Detection

The green contour shows where the model identified bleeding inside the skull. Detected automatically — no radiologist needed for the initial flag.

Chest X-ray with AI classification showing Hernia detected at 100% confidence
Chest X-Ray

Hernia detected at 100% confidence

Built around how clinicians actually work

RadiAIx integrates with existing hospital imaging systems — no rip-and-replace. Designed for Rwandan clinical workflows, not adapted from a US hospital with different staffing and infrastructure.

Talk to Us About RadiAIx →
Clinician reviewing brain scans — Rwanda Military Hospital Radiology Unit Radiology Unit — Rwanda Military Hospital
Live models CT Brain analysis, Chest X-ray disease detection, Bone fracture detection
Coming next Ultrasound disease detection, MRI disease detection
Integration A single PACS platform with integrated AI for automated medical imaging analysis and clinical decision support.
Looking for Hospital partners & clinical collaborators
Coming Soon

More projects in the pipeline

More will come as RadiAIx matures. Have a project to build with us?

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