AI Medical Imaging & Clinical Decision Support Platform
Assistive imaging analysis inside the clinical workflow
A clinician-facing platform that surfaces AI imaging analysis alongside patient context, with full auditability.
Project overview
Clinical AI only helps if it lands inside the existing workflow, with clear provenance and a clinician always in control.
We built a secure imaging platform that presents model output as decision support, never as an unattended decision.
- Industry
- Healthcare
- Timeline
- 14–16 weeks
- Services provided
- AI Development, Cloud & DevOps, Custom Software Development, Quality Assurance
Business challenge
Imaging review queues were growing, while any AI assistance had to meet strict privacy, auditability, and clinical governance requirements.
Solution delivered
- Built secure imaging ingestion with de-identification controls
- Integrated assistive analysis models with confidence indicators
- Designed clinician review UI with side-by-side comparison
- Implemented full audit logging and role-based access
Key features
Technology stack
- Python
- PyTorch
- React
- PostgreSQL
- AWS
Deliverables
- Imaging platform
- Model integration layer
- Clinician review experience
- Security and audit implementation
- Validation documentation
Faster triage of imaging queues with every AI suggestion traceable, reviewable, and confirmed by a clinician before it counts.
Services provided
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