Turn your images and expertise into an AI-driven application
With the Robovision AI platform, you easily go from ideas to annotated images to powerful AI models. Our experts can collaborate with your team to build an application that automates your workflow. We also support you in certification, paving the way for clinical and commercial use of your AI application.
Robovision guides you through every step from idea to full clinical deployment. We ensure a transparent, step-by-step collaboration, allowing you to decide how far you want to take the project.
From Idea to Final Product
In your daily work, you identify areas where image analysis tasks could be improved or optimized to achieve higher accuracy, better segmentation, or faster throughput. You recognize that deep learning AI could significantly enhance these tasks, but while you have access to valuable data, you may lack the AI expertise needed to transform this data into effective AI solutions.
The Proof of Concept is an initial step that involves minimal data, effort, and time to determine whether the problem can be effectively addressed with AI. Using the Robovision platform, you or your team can annotate images, leveraging collaborative annotation and predictive labeling to rapidly process large volumes of data. Within the platform, you can easily train and refine AI models with your annotated data, adjusting and comparing performance as needed. Alternatively, our Robovision experts can assist with these steps. The result is a fully functional AI model that you can test with your own data.
If the Proof of Concept is successful, you may choose to advance to full software development. At this stage, additional data from multiple centers is required to ensure the dataset's source data includes sufficient variation in factors such as ethnicity, age, and gender. Robovision can assist in building representative datasets. In collaboration with you, Robovision will develop an optimized deep learning model that performs effectively in clinical practice. Simultaneously, you can guide us in creating an application that integrates seamlessly into your workflow, with tailored user interfaces for specialists and specifications for clinical use. Regulatory specialists will also join the process to ensure compliance with regulatory guidelines. The result of this phase is a fully functional application ready for clinical implementation.
To move towards certification, the application must undergo thorough verifications and clinical validations. A comprehensive technical file is prepared to document all stages of development, verification, and validation, which is then submitted to regulatory authorities. The result of this phase is a fully certified application.
Robovision offers various options to facilitate deployment in hospitals. Contact us to explore go-to-market strategies and monetization opportunities.
Benefits of our medical annotation platform
- Parallel labeling to enhance collaboration.
- Predictive labeling to speed up your labeling process.
- Support for multiple data types including 2D and 3D DICOM and NIFTI files.
Read our Success Stories in 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