RadAIx
Intelligent imaging for faster, life-saving diagnostics - built in Rwanda for Africa.
In Rwanda, there is 1 radiologist per 1.5 million people - far below the WHO recommendation of 1 per 100,000. A brain hemorrhage patient can wait hours or days for diagnosis. Every hour of delay increases mortality risk by 20%.
Before and After RadAIx
RadAIx turns scans into actionable clinical alerts - faster, safer, smarter.
Without RadAIx
- CT scan waits in queue for hours or days
- Manual prioritization of urgent cases
- Subtle hemorrhages may be missed
- Delayed treatment - higher mortality risk
With RadAIx
- CT scan gets instant AI analysis
- Results delivered in under 10 seconds
- Automatic urgent-case flagging
- Visual heatmaps highlighting bleeding areas
- Immediate alerts - faster intervention
How RadAIx Works
A 5-step workflow from scan upload to real-time clinical alerts.
CT Scan Upload
Medical images are uploaded to RadAIx through standard DICOM workflows - no disruption for hospital staff.
AI Analysis
Deep learning analyzes each slice and detects hemorrhage subtypes.
Visual Intelligence
Generates heatmaps and confidence scores (0-100%) to explain what the model is seeing.
Priority Flagging
Suspected hemorrhages move to the top of the worklist with urgency indicators.
Clinical Alert
Real-time notifications can reach emergency teams so treatment can start sooner.
Built for Real-World Healthcare
Designed for African hospitals, including low-connectivity environments.
Seamless Integration
Connects to existing PACS via DICOM for minimal IT burden and no workflow changes for clinicians.
Works in Low Connectivity
Designed to function reliably in constrained environments and support notifications for remote consultations.
Learns Over Time
Radiologist feedback can help improve performance and adapt to local data over time.
Secure by Design
Security-first approach with encryption and access controls suitable for clinical environments.
Who It Helps
Faster detection supports better outcomes for patients and more efficient workflows for clinicians.
Patients
Earlier detection of life-threatening conditions for faster treatment and better outcomes.
Radiologists
Reduced workload with AI-assisted triage and decision support.
Hospitals
Reduced diagnostic delays and better resource utilization using existing infrastructure.
Health Systems
More equitable access to diagnostics regardless of location or time of day.
RadAIx: Scalable Diagnostic Platform
RadAIx is modular - additional diagnostic modules are coming as we expand capability across imaging workflows.
Bring RadAIx to Your Hospital
Partner with Kenshi.AI to deploy RadAIx and accelerate imaging diagnostics.
