Build Your Radiology AI Solution Seamlessly on deepcOS
Bridge the gap between AI research and clinical application on one comprehensive platform.
From Research to Production
With its Build functionality, deepcOS® 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.
Streamlined Validation of Your AI Models
In-house AI models need additional data to assess their real-world performance. deepcOS® enables comprehensive validation in your clinical setting.
Automated Data Handling
deepcOS® 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.
Efficient Deployment of Your AI Models
Setting up your own DICOM server demands extensive time and expertise, diverting focus from your core AI research and innovation. Leverage an established infrastructure to significantly streamline deployment and enhance productivity.
Infrastructure Support
deepcOS®’ scalable and secure infrastructure removes the need to build and maintain bespoke systems.
Seamless Integration
Smooth deployment and operation of in-house AI models, integrating with existing clinical workflows.
Flexibility
Cloud and on-premises deployment options to suit development needs, security requirements, and infrastructure preferences.
Self-service integration of your AI models in real-time
Compatibility with MONAI MAPs
Transparency in integration
Insights into your AI solution’s performance
Looking to deploy your research AI engine?
Keep Exploring
Find more insights, updates, and resources to help you stay ahead
AI Safety White Paper
A comprehensive strategy for ensuring AI safety from pre- to post-deployment.
From Idea to Implementation
Navigating the AI Development Journey in Healthcare
Cloud or On-Prem?
Navigating AI deployment includes determining the best setup for your clinical organization. See what factors are involved in choosing between a cloud and on-prem platform.
deepc joins King’s Health Partners Digital Health Hub
deepc will share its expertise with AI-focused medtech startups, helping them scale quickly and avoid first-time regulatory and technical pitfalls.