ImViA

ImViA is a comprehensive web application designed for the precise annotation, analysis, and documentation of surgical videos. It operates entirely in the browser, eliminating the need for local installation, and supports a wide range of data types including 2D images, 3D volumes, surgical videos, endoscopy, MRI, and CT scans.

The platform is equipped with AI-supported features that facilitate the structured capture and analysis of complex surgical images. It enables efficient annotation and processing of surgical procedures directly in the browser, making it ideal for creating accurate training data for AI models. Key features include support for temporal segmentation, instrument annotation, and workflow recognition.

ImViA integrates seamlessly into existing development environments and data pipelines through a documented API, providing a powerful solution for researchers and development teams. Medical professionals can use the intuitive interface for quality control, training, and surgical documentation, benefiting from visualized surgical workflows.

The platform is scalable and secure, suitable for use in clinics, labs, and industry settings. It includes an AI Model Zoo, quality-controlled workflows, and project dashboards, making it ideal for clinical studies, algorithm development, and surgical training.

Applications

• Automated annotation of surgical videos, including phases, instruments, and events
• Creation of high-quality training data for AI models
• Support in the training of surgeons
• Visualization and tracking of surgical workflows
• Integration into research projects or clinical studies

Solutions

• Support for various video formats and sources
• Fully browser-based, installation-free application
• Customizable annotation tools for specific surgical procedures
• AI Model Zoo for model integration and management
• Developer-friendly API for data exchange and automation
• GDPR-compliant data processing and secure user management

ImViA's Video Object Segmentation (VOS) feature allows for the creation of object masks from a few annotated key frames, which are then automatically propagated across entire video segments. This saves time and ensures consistency, making it ideal for instrument tracking, workflow recognition, and AI training data generation.

The platform also offers robust data management capabilities, supporting complex medical data with structured metadata and version control. It includes tools for anonymization and pseudonymization to ensure data privacy and compliance with GDPR standards.

User management is scalable and role-based, allowing for collaboration across sites and teams. Custom user roles can be defined for specific project tasks, and projects can be managed with fine-grained access control. Project managers can track progress, configure annotation tools, and define label sets, making it suitable for multicentric environments and collaborative studies.

Overall, ImViA provides a future-ready solution for surgical video annotation, enabling structure, analysis, and annotation of surgical videos with a secure, scalable platform.