Liger Medical Imaging AI Platform
A cleared backbone for deploying and operating medical-imaging AI in hospitals
Liger turns medical-imaging AI from a single model into a deployable, maintainable and scalable hospital AI infrastructure. It connects DICOM/PACS/FHIR and integrates model deployment, imaging computation, result rendering, model management and audit logging — hosting DeepBT® and other clinical AI modules.
- TFDA Class II · 008624
- DICOM / PACS / FHIR
- Multi-module
Why hospitals struggle to adopt imaging AI
Standalone AI tools rarely fit existing systems and workflows
Complex DICOM/PACS integration — every AI is re-integrated from scratch
Disjointed image transfer and AI computation flow
AI results cannot return to clinical systems in standard formats
No unified deployment or management across different AI models
Insufficient usage logs and audit trails
Adding multiple AI modules creates duplicated integration and maintenance
Liger as the common entry point for hospital AI
DICOM → AI engine → PACS / Viewer / report, on one managed platform
Liger centrally manages model deployment, image ingest, task dispatch, result rendering and data return — so adding new AI modules avoids duplicated integration, deployment and maintenance.
Hospital image sources
DICOM / PACS
Image archive
CT / MRI
Imaging devices
RIS / EMR
Reports & records
FHIR
Data exchange
Liger Medical Imaging AI Platform
TFDA Class II · 008624Image ingest & filtering
Auto-select key series
AI deployment & orchestration
Task dispatch · model mgmt
Imaging computation
Background inference
Result rendering
Standardized output
Audit & usage logs
Traceability
AI modules & outputs
DeepBT® brain-tumor AI
Flagship clinical module
Multi-module scaling
Brain · cardiac · lung AI
PACS / Viewer / workstation
Back into the workflow
Report draft
LLM-assisted
DICOM → AI engine → PACS / Viewer / report
Platform capabilities
DICOM / PACS / FHIR integration
Built on international healthcare-IT standards: standard DICOM communication, DICOM image I/O and FHIR data exchange — lowering the bar for hospital AI adoption and integration.
AI model deployment & orchestration
Unified management of model deployment, image ingest, task dispatch and computation, so different models are deployed, orchestrated and scaled on one platform.
Clinical workflow integration
Auto-receives images, runs inference in the background and returns results to PACS, the viewer or workstation — embedding AI into physicians' existing workflow rather than a standalone tool.
Audit & traceability
Complete usage logs and audit data supporting quality monitoring, accountability and post-market surveillance — aligned with medical-device software governance.
Multi-module scalability
Beyond hosting DeepBT®, Liger can integrate medical-imaging AI from other companies or research teams — a cross-vendor, multi-module, scalable architecture.
A cleared platform backbone
Liger is itself a TFDA Class II cleared platform (No. 008624) — a compliant, shared backbone for adopting many AI SaMD modules in hospitals.
One platform, many disease modules
DeepBT® today; brain, cardiac and lung imaging AI next
With Liger at the core, AItewan continues to develop more brain, cardiac and lung imaging AI SaMD for cross-hospital deployment and subscription services. The items below are development directions — not yet cleared or marketed — advancing through the regulatory process.
Roadmap — not cleared or commercialized products
The platform itself is a cleared medical device
The Liger intelligent medical-imaging AI management platform holds TFDA Class II clearance (License No. 008624) — a trustworthy AI deployment backbone for hospitals.
Bring medical-imaging AI into real hospital workflows
Talk to us about on-premise deployment, module licensing, subscription service and multi-module integration on the Liger platform.