01
Upload
Drag DICOM CT, MRI, and X-ray studies into a protected ingestion flow.
radiologist-in-the-loop AI
A cinematic AI workspace for faster, safer radiology report drafts.
This demo presents the product vision: DICOM upload, AI abnormality detection, highlighted regions, streaming report generation, chat assistance, authentication-ready flows, and analytics in a modern SaaS experience.
1,284
Demo studies triaged
41s
Median draft time
97.2%
AI findings surfaced
Live AI Viewport
MONAI pipeline
91% opacity
Suspicious regions
Right upper-lobe opacity91%
No midline shift98%
Follow-up comparison advised76%
End-to-end workflow
Built like a production product, shown as a polished demo.
Animated touchpoints show how the real backend architecture connects upload, AI triage, report drafting, assistant chat, and analytics.
02
Review
Inspect the study with a Cornerstone-ready viewport and visual overlays.
03
Detect
Run MONAI/PyTorch inference boundaries for abnormality detection.
04
Report
Stream a structured report draft and export it for sign-off workflows.
Designed around clinical review and responsible AI.
This is a demonstration interface, but the architecture keeps the radiologist in control with draft status, confidence labels, and explicit validation language.
Clean layers
Frontend, API, AI services, and database remain independently replaceable.
Streaming UX
Report and assistant text streams token-by-token for a premium AI feel.
Operational view
Dashboard cards communicate throughput, pending work, and critical findings.
Export ready
Draft reports can be edited and exported from the review workspace.