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Robovision AI for Healthcare Robovision AI for Healthcare

Discover the Benefits of our AI Platform

Robovision AI for Healthcare

The Robovision AI platform offers a robust toolset for project, user, and data management. Our scalable cloud platform is easy to integrate into your workflow and serves as a user-friendly, secure environment for collaborative annotation and AI creation.

Robovision AI for Healthcare: Key Features

Start managing users and label your data without the hassle of downloading any software. You can work in the cloud or on a server in a location of your choice. With any approach, your data remains secure at all times–it never leaves the servers, nor is it transferred to a local device.

Efficient and centralized management enables streamlined workflows and easier follow-up. From a central dashboard, admins can assign reviewers and labelers to different projects and track progress. You can run multiple projects simultaneously, each in a safe environment. 

The Robovision AI Platform has a tailor-made workflow for both pathologists and radiologists. Providing great 2D annotation tools, experts can easily upload DICOM or NIFTI files and also create 3D annotations in seconds. The platform offers multiple smart tools such as a smart lasso and predictive labeling. 

Any user can train AI models within our no-code platform. You can also quickly test the effect of new data or new model architectures on your model’s performance. Thanks to the GPU in the cloud, there is no need for dedicated GPUs on user’s desks. 

Robovision’s medical inference platform is specially designed to run AI-based clinical applications in a clinical context. It is fully compatible with your PACS systems and integrates seamlessly into your workflows. Robovision helps you rapidly achieve the benefits of AI-powered systems and processes in your organization.    

Discover our Success Stories in Healthcare
Client Lung damage on CT scans
Industry Healthcare
During the COVID-19 pandemic, Robovision teamed up with several partners to create an AI model for fast quantification of lung damage.
View success story
Client National Institutes of Health (USA)
Industry Healthcare
AI application makes it easier for radiologists to identify specific organs and detect anomalies.
View success story