The Announcement Everyone Will Be Talking About
Radiology AI is about to shift. See it first on November 6.
Radiology AI is about to shift. See it first on November 6.
Head-to-head comparison of AI solutions on your own data, with your own radiologists, all in one streamlined, secure, and vendor-neutral environment.
There’s no such thing as a “universal best” radiology AI tool. The best solution depends on your clinical setup, patient population, and use case.
In fact, more than 75% of published AI models perform worse when tested on new data. One in four shows a substantial drop in performance (Yu et al., 2022). That’s why local, evidence-based validation is essential.
Whether you’re evaluating commercial solutions or fine-tuning a model during development, deepcOS® AI Evaluator provides a vendor-neutral environment to test multiple AI tools side by side—using your data, your clinicians, and your real-world conditions.
Radiology AI is evolving fast, with more tools and more pressure to validate them. Clinical leaders demand evidence before deployment. Regulators are tightening expectations through frameworks like the EU AI Act and FDA’s Good Machine Learning Practice.
To adopt—or even develop—AI with confidence, evaluation must be faster, fairer, and grounded in real-world performance.
The Challenge
Fragmented Process: No standard way to compare AI across vendors or hospitals.
Resource Intensive: Without a platform, testing AI requires heavy IT lift, manual data handling, and hours of clinician time.
Opaque Performance: AI may behave differently across sites or demographics, undermining trust.
Regulatory Complexity: Compliance demands are growing, requiring auditable and evidence-based evaluations.
deepcOS® AI Evaluator
Upload Studies: Securely upload or route DICOM exams to our platform.
Process with Multiple AIs: Run the same dataset through multiple AI tools for the same use case.
Collect User-Level Feedback: Radiologists and researchers mark outputs (accept / doubt / reject) independently, and without bias.
Aggregate & Benchmark: Automatically compile technical and user data into easy-to-use formats for institutional insights or publications.
Gain clarity within a crowded AI market and dive deeper into specific AI solutions before making a purchase.
Easily test commercial and in-house models using your data. Compare performance side by side for specific clinical use cases.
Run evaluations through one secure, centralized interface. No need for custom installations, separate legal workflows, or isolated security reviews, even for in-house AI models.
Schedule a personalized consultation today to test our portfolio of AI solutions and discover the perfect fit for your needs!
Find more insights, updates, and resources to help you stay ahead
Blog post
How a radiology department was able to directly evaluate and compare multiple AI solutions in context to their clinical setting.
Whitepaper
A Framework for Safe, Secure, and Trustworthy AI in Radiology
Learn about more than 50 certified AI solutions from over 30 globally leading AI vendors, covering a wide variety of medical specialties.
All available for integration via deepcOS®.
deepc understands that no radiology department is the same.
As a proudly vendor neutral and independent platform, we always work together with our customers to identify the AI solutions that best support their unique needs.