Artificial Intelligence Operating System for Medical Imaging
Enhance physician workflow with state-of-the-art AI models, for research or clinical use, seamlessly integrated with your existing PACS.
Features
Why use 
?
Enhance your diagnostic capabilities with our comprehensive AI-powered platform.
Seamless PACS Integration
Use AI without infrastructure overhaul.
Enhanced Viewer & Browser
Replace your PACS browser with AI-powered insights.
For Clinicians & Researchers
Ideal for testing clinical AI applications in the real world for research use or run regulated AI models.
Test Your Own Models
Run open-source (for research use) or regulated AI models directly on local PACS.
Secure & Scalable
Self-deployment designed for privacy, compliance, and ease
Technology
Built for Scale and Security
Our containerized architecture ensures rapid deployment, consistent performance, and seamless scalability.
Standardized Data Processing
PACS-AI uses docker containers for rapid deployment and consistent environments.
Modular Architecture
Plug-and-play AI models for different imaging modalities.
Secure Infrastructure
End-to-end encryption data handling.
Case Studies
Proven Results in Clinical Settings
CathEF Study Results
JAMA Cardiology
Novel AI-powered biomarker extraction achieving 0.90 AUC with TTE LVEF measurements in just 4 seconds.
0.90
AUC Score
4s
Analysis Time
Avram et al., JAMA Cardiology, 2023
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Pricing
Solutions for Every Scale
Flexible options for research institutions and healthcare providers.
Research Use
Ideal for academic and research institutions exploring AI in medical imaging.
Free
Research license
Access to research-focused AI models
Data collection tools
Research collaboration support
Academic publication rights
Technical documentation access
* Non-FDA/Health Canada approved models. For research purposes only.
Healthcare System
Complete solution for healthcare providers and hospital networks.
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Enterprise license
Multi-site deployment support
Priority support & service-level agreement
Custom workflow optimization
Custom Deployment
Tailored solutions for unique healthcare environments.
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Custom license
Custom AI model development
Specialized integration needs
On-premise deployment options
Dedicated support team
Extended API access
Frequently Asked Questions (FAQ)
You have questions? We have the answers!
Need more details? Get in touch with our team!
PACS-AI seamlessly integrates with your existing PACS infrastructure, enabling AI-powered image analysis without requiring a major system overhaul. It supports both local AI model testing for researchers and full PACS browser replacement for clinicians, enhancing diagnostic workflows.
PACS-AI is currently undergoing the regulatory assessment to see if Health Canada approval is needed. While awaiting regulatory clearance, it is available for research and non-diagnostic use after local review board approval, under an approved research protocol, with a full clinical version planned upon approval.
Yes! PACS-AI offers a self-hosted version, allowing hospitals and research institutions to deploy it within their infrastructure for full control over data security and compliance. We collect usage analytics (number of users, AI models and number of AI queries for self-hosted versions but do not store any patient data or any AI prediction result).
PACS-AI follows a hybrid mode:
- A core open-source version is available for customization and community-driven development.
- A closed-source enterprise edition includes advanced AI models, regulatory compliance features, and dedicated support.
Yes, anonymous aggregated usage statistics are collected to help improve performance, troubleshoot issues, and enhance user experience. However, our company will not store or share patient data, ensuring full compliance with HIPAA, PIPEDA, and Law 25 in Quebec.
Absolutely! PACS-AI provides a flexible AI inference pipeline, allowing researchers to deploy and validate their own models directly within their local PACS environment, without needing external cloud processing.
PACS-AI includes a built-in PACS viewer with AI-assisted image interpretation, making it a powerful alternative to traditional PACS browsers.
PACS-AI does not sell or share patient data. All data processing happens locally or within a secure on-premises environment. If cloud-based AI inference is used, encryption protocols and compliance measures ensure full data protection.
PACS-AI is developed by a CIFAR (Canadian Institute for Advanced Research) team of clinicians, AI researchers, and engineers committed to advancing medical imaging through AI-driven solutions.
© 2025 PACS-AI Inc. All rights reserved.