Live · AI-powered radiology platform

The radiology platform
your department deserves

Patient registration, DICOM viewing, diagnostic AI, real-time collaboration, structured reporting — the complete clinical workflow, in one secure system.

Built on trusted open standards

Clinical infrastructure you can trust

Every layer of Cornerstone is built on proven open standards — so your data stays interoperable, secure, and entirely yours.

Standard

DICOM 3.0

Full compliance for imaging interoperability across every modality and vendor

ISO 12052 Active

Protocol

HL7 FHIR

Seamless interoperability with EHRs, labs, and referring physician systems

R4 compliant Active

Backend

Orthanc PACS

Open-source PACS server powering study storage, routing, and retrieval

Open source Active

Security

AES-256

Military-grade encryption for all patient data, at rest and in transit

End-to-end Active
Who we are

Bridging the gap between AI and clinical reality.

At Cornerstone, we believe modern radiology shouldn't be bottlenecked by legacy software. We are a dedicated team of clinical informaticians, AI engineers, and healthcare strategists.

Our mission is to democratize access to advanced diagnostic tools — ensuring every hospital, regardless of size or location, can operate with the efficiency of a world-class institution.

0
Plugins required
100%
Web-native
1 day
To deploy
AI-First Platform
Deep learning embedded at every workflow step
Zero Install
Fully browser-native, no plugins or local software
Secure by Design
AES-256, RS256 JWT, 2FA, RBAC, and full audit trails
Every Role Covered
From front-desk to radiologist to administrator
What we do

Complete clinical digitization

We replace fragmented healthcare IT with a singular, intelligent platform that manages the patient journey from reception to final report.

01

Streamline Front-Desk Operations

We eliminate paper trails. From patient registration to appointment booking and automated SMS confirmations — digitized, and routed directly to the radiologist's worklist.

Registration Scheduling SMS Alerts
02

Empower Radiologists with AI

Deep learning embedded directly into the DICOM viewing process — confidence-scored findings and visual heatmaps before the radiologist begins typing.

LIVE AI CONFIDENCE

Infiltration
87%
Nodule
62%
03

Ensure Cryptographic Compliance

Tamper-evident PDF reports secured by RS256 signatures. Every report includes a QR code for instant authenticity verification by any clinician.

RS256 Signed SHA-256 QR Verify
Deep Dive

Explore the platform features

Detailed look at the technical capabilities that power the Cornerstone ecosystem.

AI-powered analysis

Diagnostic AI that pre-reads every study

Confidence-scored findings with visual heatmap overlays surface priority cases before the radiologist opens the study. You stay in control — the AI assists, never overrides.

Confidence-scored findings for infiltration, nodules, effusion & cardiomegaly
Visual heatmap overlays on DICOM images for precise localisation
AI Findings — Chest X-Ray · Fatai, A.O.
Confidence scores
Infiltration
87%
Nodule
62%
Smart Routing

Improve turnaround times with intelligent assignment

Smart study routing with radiologist assignment, priority queuing, and real-time status tracking across the entire department. Ensure no study falls through the cracks.

Direct assignment to specific radiologists or specialist queues
Priority tagging for urgent cases to bypass routine worklists
Study Routing Matrix
CT Angio — Obinna, E.
CT · Auto-routed by Modality
PRIORITY: HIGH
Assigned: Dr. Hassan
MRI Spine — Adeleke, S.
MR · TAT: 14 mins pending
Assign to... ▼
Seamless Teamwork

Built-in communication and live reporting status

Eliminate double-reporting and fragmented communication. See who is actively reporting a study, drop clinical comments directly on study rows, and send emails without leaving the platform.

Live "reporting now" WebSocket indicators visible department-wide
Inline study comments for quick radiologist-to-radiologist second opinions
Active Worklist & Comments
CT Chest — Ibrahim, Y.
CT · Assigned to Dr. Hassan
Dr. Hassan reporting
AO
Dr. Olusola:Please review the apical segment on slice 42, looks suspicious for a micro-nodule.
FH
Dr. Hassan:Checking it now. I will email the oncologist if confirmed.
Zero-footprint viewer

Browser-native DICOM viewing — no plugins required

Full DICOM 3.0 compliance via the OHIF viewer. Windowing, pan, zoom, MPR reconstructions, and AI heatmap overlays all load in any browser, on any device.

Cryptographic Delivery

Signed,tamper-evident reports & secure patient sharing

Generate structured, RS256-signed PDF reports with SHA-256 manifests. Securely share DICOM studies directly with patients or referring physicians via time-limited, zero-footprint web links.

RS256 asymmetric signing with QR code verification for authenticity
Generate secure, expiring links to share DICOM images with patients
Export & Share Panel
✓ RS256 signed · SHA-256 manifest · QR embedded
SIGNED
📥 Download PDF
🔗 Share with Patient
Link expires in: 24 Hours ▼
Oncology & Tracking

RECIST-based lesion monitoring over time

RECIST-based lesion tracking with side-by-side comparisons across time points. Automated progression analysis with structured follow-up scheduling.

Track RECIST 1.1 status (CR, PR, SD, PD) across historical timelines
Log baseline vs. current diameter measurements and SUVmax values
RECIST Monitoring — Lesion A · Okonkwo, A.
Lesion A — Right lobe
PR — Partial Response
Baseline
28mm
Current
19mm
Change
−32%
JanMarMayJulSep
Zero Trust

Clinical-grade security and compliance

End-to-end JWT authentication, branding integrity verification, role-based access, 2FA, and full audit trails — compliant with strict clinical data regulations.

Strict Role-Based Access Control (RBAC) separates front-desk, clinical, and admin functions
Immutable audit logs capturing every view, edit, assignment, and share event
System Audit Log & Integrity Check
[2026-03-13 12:30:16] [AUTH] User Dr_Hassan logged in (TOTP Verified)
[2026-03-13 12:31:02] [ASSIGN] Study UID 1.2.840... assigned to Dr_Hassan
[2026-03-13 12:35:44] [VIEW] DICOM series accessed (Client IP: 192.168.1.45)
[2026-03-13 12:40:11] [INTEGRITY] System Branding Manifest Match: SUCCESS
_
How it works

From study arrival to signed report

A linear, intelligent workflow that removes every bottleneck between patient and diagnosis.

1

Patient registered at the front desk

Reception staff register the patient, capture demographics, and book the modality — all data flows automatically to the radiologist's worklist with zero re-entry.

2

Study arrives & AI pre-reads instantly

The moment the DICOM study is received, Cornerstone's AI engine analyses it in the background — flagging findings, scoring confidence, and surfacing urgent cases at the top of the worklist.

3

Radiologist assigned & begins reporting

Studies are routed to the right radiologist by modality or priority. A live "reporting now" indicator broadcasts to the entire department, preventing double-work.

4

Report signed & cryptographically delivered

The structured report is RS256-signed, PDF-exported, and shared directly with the referring physician or patient via a secure, expiring link — all from within the platform.

Active Reporting — Ibrahim, Y.
AI Finding: Right lower lobe opacity
Confidence: 87% · Suggest: consolidation vs. atelectasis
Cardiomegaly — borderline
CTR: 0.54 · Monitor on follow-up
✓ RS256 signed · SHA-256 manifest
SIGN & DELIVER
Our team

The people behind Cornerstone

A small, focused team of clinicians, engineers, and strategists on a mission to modernise medical imaging.

DO

Dada Olakunle

CEO & Founder

Visionary behind Cornerstone — bridging clinical informatics and modern AI infrastructure for African healthcare.

LinkedIn
AO

Adaeze Okonkwo

Head of Clinical Informatics

Leads clinical workflow design, ensuring every feature aligns with radiologist needs in real-world hospital environments.

Radiology
EM

Emmanuel Makinde

Lead AI Engineer

Architects the deep learning pipeline — from DICOM ingestion and model inference to confidence scoring and visual heatmaps.

AI & ML
FA

Fatima Aliyu

Head of Product & Design

Shapes the product experience — translating complex clinical data into interfaces that front-desk staff and radiologists can act on instantly.

Product
Get in touch

Let's talk about your radiology department.

Whether you're a hospital administrator looking to modernise imaging workflows, a radiologist evaluating diagnostic AI tools, or a developer wanting to integrate with our platform — we're ready to help.

Location

Lagos, Nigeria

Send us a message

We typically respond within one business day.