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The Announcement Everyone Will Be Talking About
Radiology AI is about to shift. See it first on November 6th.
Build
Build Your Radiology AI Solution Seamlessly on deepcOS®
Bridge the gap between AI research and clinical application on one comprehensive infrastructure platform. with deepcOS® Researcher Suite.
From Research to Production
The deepcOS® Researcher Suite is optimized to support the entire AI development process from research to production. Whether you're a medical researcher looking to validate and deploy your AI model in your clinical environment or an AI vendor aiming to quickly expand your market reach, the enterprise-grade deepcOS® offers a robust, integrated platform that automates data handling, streamlines validation, and ensures reliable deployment.
This allows you to overcome complex engineering challenges and focus on achieving faster, more reliable results for your AI model’s performance.
Most Medical AI Models Never Reach Clinical Impact
Fragmented infrastructure, manual workflows, and limited IT resources often stall even the best models before deployment. deepcOS® Researcher Suite removes these barriers—uniting packaging, evaluation, and deployment in one secure environment, built on the same enterprise-grade platform trusted for commercial AI. From early-stage validation to real-world use, it provides a reproducible, scalable foundation for clinical integration.
Aspect | Traditional Approach | deepcOS® Platform |
|---|---|---|
AI Lifecycle Management | Fragmented, manual tracking across phases | Unified management from development to deployment and iteration |
Infrastructure Setup | Manual setup, time-consuming | Ready-to-use cloud infrastructure |
Data Management | Complex manual processes | Automated, compliant workflows |
Model Staging in Clinical Workflow | Ad-hoc, slow integration into practice | Seamless staging and iteration in real-time |
Clinical Integration | Requires custom development and configuration | HIT-agnostic integration with HL7 and DICOM standards |
Scalability | Limited by local resources | Enterprise-grade scalability |
Monitoring | Manual basic metrics tracking | Comprehensive analytics |
A Complete Offering Across the AI Lifecycle
deepcOS® Researcher Suite delivers all the tools you need to move from prototype to clinical impact, including packaging, staging, evaluation, deployment, integration and monitoring, within one secure, enterprise-grade platform.
Lifecycle
Click a segment to explore
deepcOS® Lifecycle Manager
Guided interface for staging and technical validation with built-in logs, input checks, and version control.
deepcOS® AI Evaluator
Collect structured, multi-reviewer clinical feedback and compare results side-by-side with other models.
Cloud or On-Prem Deployment
Flexible options to meet security, compliance, and performance needs.
deepcOS® Clinical API
Enable worklist, viewer, and reporting integration when moving into real-world workflows.
Analytics Dashboard
Monitor technical performance, success rates, processing times, prediction behavior, and version history.
deepcOS® SDK
Package AI models with deepcOS-compliant DICOM outputs. Supports containerized models & MONAI MAPs.
Streamlined Validation of Your AI Models
In-house AI models need additional data to assess their real-world performance. deepcOS® Researcher Suite enables comprehensive validation in your clinical setting.
Automated Data Handling
deepcOS® Researcher Suite eliminates the need for manual data extraction and preparation by automating these processes within the clinical workflow.
Integrated Environment
AI models can be validated directly in a production-like environment without setting up additional infrastructure.
Comprehensive Evaluation
Gather assessments of model performance, user experience, and clinical outcomes, providing robust evidence for journal publication and commercialization.
From Deployment to Continuous Improvement
Once your model is validated, move seamlessly into production workflows and keep improving with ongoing performance monitoring.
Deployment & Integration
Secure, scalable infrastructure with smooth integration into existing workflows.
Flexibility
Deploy via cloud, on-prem, or hybrid to meet technical and compliance requirements.
Monitoring & Optimization
Built-in analytics to track performance trends, success rates, and processing behavior for continuous improvement.
Develop & Package
Use the deepcOS® SDK to prepare DICOM-compatible engine reports. Supports containerized models and MONAI MAPs.
Self-service integration of your AI models in real-time
Move your AI model from development to clinical practice without challenges from backend engineering and IT prioritizations.
Transparency in integration
See all of your submissions at a glance and access tooling to troubleshoot submissions in real-time
Upload & Evaluate
Securely upload or route DICOM exams to deepcOS for evaluation. Collect structured accept/doubt/reject feedback and even compare results with other models.
Insights into your AI solution’s performance
Comprehensive dashboard enables users to monitor submitted AI solutions, gaining insights into execution time, success rate, and JSON-related metrics.
Looking to deploy your research AI engine?
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