MEDYNEXAHealth Technologies Ltd.
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RADYNEX PRODUCT SUITE

AI Orchestration Platform

RADYNEX is being designed as an AI-native operating layer where AI becomes a governed workflow between study arrival and radiologist review—not an isolated plugin.

Request enterprise briefing →Explore Radynex
AI queue architecture directionModel orchestration roadmapHuman-reviewed result workflowMulti-model marketplace vision
DICOM connected
Reporting ready
Secure workflow
RADYNEX · DIAGNOSTIC WORKSPACESECURE
RADYNEX diagnostic workspace on desktop display
RADYNEX worklist and study workflow on tablet
WORKLISTMulti-site operations
RADYNEX responsive reporting workflow on mobile
ENTERPRISE IMAGING OSOne workflow.
Every screen.Viewer · Worklist · Reporting · Routing
Enterprise capabilities

Platform built for real diagnostic operations

01

AI queue architecture direction

Governed AI integration designed around human review, traceable workflow state and model orchestration rather than disconnected AI utilities.

02

Model orchestration roadmap

Governed AI integration designed around human review, traceable workflow state and model orchestration rather than disconnected AI utilities.

03

Human-reviewed result workflow

A specialized capability engineered as part of the unified RADYNEX diagnostic imaging operating layer, with shared identity, workflow and integration context.

04

Multi-model marketplace vision

Governed AI integration designed around human review, traceable workflow state and model orchestration rather than disconnected AI utilities.

05

QA feedback loop roadmap

A specialized capability engineered as part of the unified RADYNEX diagnostic imaging operating layer, with shared identity, workflow and integration context.

06

AI model ecosystem direction

Governed AI integration designed around human review, traceable workflow state and model orchestration rather than disconnected AI utilities.

Operational workflow

One connected workflow instead of fragmented tools.

1
Study→
2
AI Queue→
3
Model→
4
Result→
5
Radiologist Review→
6
QA Feedback
OPERATING CONTEXT

Designed for distributed diagnostic organizations.

This RADYNEX domain participates in the same organization, facility, user, study and workflow context as the wider platform. That means hospitals, diagnostic chains and teleradiology providers can operate specialized capabilities without creating another isolated portal.

  • Hospital and diagnostic-network operations
  • Teleradiology provider tenancy
  • Radiologist and operational role separation
  • Multi-facility and multi-region architecture
PLATFORM CONNECTIONS

Connected to the rest of the imaging operating system.

Viewer, worklist, reporting, PACS/VNA, identity, interoperability, AI orchestration, quality and commercial controls are designed as cooperating platform layers rather than unrelated products.

  • DICOM and DICOMweb imaging foundation
  • Central identity and role-aware access
  • Workflow and event-driven integration boundaries
  • Cloud, hybrid, private-cloud and on-premise deployment
Deployment flexibility

Four deployment models. One RADYNEX operating layer.

Radynex is being engineered for healthcare organizations and service providers that need flexible deployment models without forcing a rip-and-replace strategy.

MODEL 01

Multi-Tenant Cloud SaaS

Shared cloud platform direction for hospitals, diagnostic networks and teleradiology providers operating as isolated tenants.

MODEL 02

Dedicated Private Cloud

Single-tenant managed cloud environment for organizations requiring stronger infrastructure isolation and dedicated resources.

MODEL 03

Hybrid Edge + Cloud

Local imaging and edge services connected to centralized cloud workflow, orchestration and enterprise operations.

MODEL 04

Dedicated On-Premise

Private local deployment direction for large hospitals, multi-branch diagnostic groups and controlled data-center environments.