PACS-AI · SOTAMED ECOSYSTEM
PACS-AI — medical imaging from the SotaMed ecosystem
Enterprise-grade PACS with AI for end-to-end diagnostic workflows: DICOM and Non-DICOM storage, smart image processing, and open integration with hospital HIS, EMR, and AI tools — built for modern healthcare facilities.
Product information reflects the SotaMed / PACS-AI offering on sotamed.ai (SotaTek).

Hospitals and imaging networks running PACS-AI across the care continuum.

Radiology reading rooms

Inpatient & acute care

Outpatient imaging

Multi-site health systems

Teleradiology & remote reads

Research & teaching hospitals

Compliance & archiving

Emergency & trauma imaging
A responsible walkthrough: connect, assist review, document, and govern — not a diagnosis demo.
Live Demo
PACS-aware flows with clinician-first language and safety framing.
Step 1 / 6 · Clinical context
Connect imaging workflows where radiologists already work — respect roles and patient safety.
Four pillars that cover storage, workflow, intelligence, and integration.
Connect directly to imaging devices including endoscopy, ECG, and EEG. Strong Non-DICOM support versus many imported PACS that omit it.
From acquisition and reading to reporting and archiving — one coherent pipeline for radiology and clinical teams.
AI-assisted analysis and processing to help radiologists and clinicians prioritize findings and reduce repetitive work.
Open software architecture ready for hospital HIS, EMR, and third-party AI diagnostic services.
Open architecture, full device coverage, flexible deployment, and international-grade security.
Open software, ready to integrate with hospital HIS and EMR systems.
Supports DICOM and Non-DICOM modalities — endoscopy, ECG, EEG, and more — beyond many legacy imports.
On-premise or cloud deployment models to match hospital IT policy.
AI-assisted diagnosis and voice processing to help clinicians work faster with fewer errors.
Competitive pricing scaled to the size and scope of each healthcare facility.
Aligns with HL7, DICOM, ISO 27001, and related standards for data protection and auditability.
Established in 1957, the center operates 15 departments and 270 beds. Partnering with SotaMed on PACS-AI, it digitized reading and storage of medical images. Today, 100% of diagnostic imaging physicians are trained to read on workstations—raising efficiency, accuracy, and data sharing across departments.
How PACS-AI fits hospitals and diagnostic networks.
Talk to us about deployment models, integrations, and training — or explore the full solution narrative on sotamed.ai.