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销售价格： ￥ 面议
商品编号： AS-0248-1776
软件语言： 英文
器械分类： II
生产厂家： Chimaera GmbH
公司网址： https://www.chimaera.de/
认证信息： FDA
系统要求： Windows
交付方式： 下载安装
  • 软件概览
  • 推荐配置
  • 典型病例
  • 软件教程
  • 临床文献
  • 用户评价
  • 产品彩页

软件概览

ImViA: SMART VIDEO ANNOTATION FOR SURGERY

Optimize the evaluation of surgical data with our web app for accurate video annotation, analysis & documentation – scalable, secure & future-ready.


Precise surgical video annotation – browser-based, AI-supported, ready to use.

Our Web Application Ecosystem for Image and Video Annotation, Analysis & AI (ImViA) for surgical video annotation simplifies the structured capture and analysis of complex surgical images – without local installation. Surgical procedures can be efficiently annotated, analyzed and processed for a variety of applications directly in the browser.

The full-stack web platform provides researchers and development teams with powerful tools for creating accurate training data for AI models – with support for temporal segmentation, instrument annotation, and workflow recognition. The solution can be seamlessly integrated into existing development environments and data pipelines via a documented API.

At the same time, medical professionals benefit from an user interface that visualizes surgical workflows in an understandable way and can be used for quality control, training or surgical documentation.

Whether in the clinic, lab, or industry, our browser-based solution brings structure to surgical video data and opens up new opportunities for analysis, automation, and innovation.


Applications

  • Automated annotation of surgical videos (phases, instruments, events)

  • Creation of high-quality training data for AI models

  • Documentation and analysis of surgical procedures for quality assessment

  • 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 web application

  • Customizable annotation tools for specific surgical procedures (e.g. laparoscopy, robotics)

  • AI Model Zoo

  • Developer-friendly API for data exchange and automation

  • GDPR-compliant data processing and secure user management


Benefits

  • Ready to use: No installation, runs in the browser - on any device

  • Efficient: Automated processes save time and reduce manual errors

  • Flexible: Adaptable to a wide range of surgical scenarios and data sets

  • Scalable: Ideal for single users to large research networks

  • Interdisciplinary: Combines surgical expertise with AI-powered analysis

  • Ready to use: No installation, runs in the browser - on any device

  • Efficient: Automated processes save time and reduce manual errors

  • Flexible: Adaptable to a wide range of surgical scenarios and data sets

  • Scalable: Ideal for single users to large research networks

  • Interdisciplinary: Combines surgical expertise with AI-powered analysis


ImViA Core Features

Annotation App

Powerful in-browser annotation – designed for surgical data and real-world collaboration.

Supports multiple data types: 2D images, 3D volumes, surgical videos, endoscopy, MRI, CT, and more – all in one platform

Efficient annotation workflows for individuals and teams

Built-in quality assurance: review processes and documentation features

Video Object Segmentation (VOS) from selected key frames

Designed for scalable collaboration across disciplines

1753522082084.png

ImViA – VOS (Video Object Segmentation) from Key Frames

With ImViA’s VOS feature, object masks are created from a few annotated key frames and automatically propagated across entire video segments:

Segment once, apply across the sequence

Saving time while ensuring consistency in surgical video annotation

Ideal for instrument tracking, workflow recognition, and AI training data generation

1753522125311.png

AI Model Zoo

Integrate and manage AI models – whether from Chimaera, your own development, or the open-source ecosystem

Simplify AI development, training, and deployment through a unified web interface

Collaborate on model development within interdisciplinary teams

Built on MONAI Application Packages (MAP) and compatible with NVIDIA Holoscan for real-world medical AI workflows

Deploy models on desktop GPUs, NVIDIA Jetson, or Enterprise Edge AI platforms like NVIDIA IGX

Use the web platform as a central development hub, supporting rapid prototyping and validation

Enable flexible model integration and automation via Python scripting and APIs

Scale up with batch processing workflows based on Girder Data Management

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Data Management

Robust handling of complex medical data – secure, structured, and compliant.

Supports medical images and videos with structured metadata and version control

Integrated anonymization and pseudonymization tools for data privacy and compliance

Designed for GDPR-compliant workflows across clinical and research environments

Enables quality-controlled data pipelines with traceable processing steps and documentation


User Management

Scalable, role-based collaboration across sites and teams.

Define custom user roles tailored to specific project tasks – from annotation to quality assurance

Assign users across multiple sites to individual projects with fine-grained access control

Manage full project workflows with role hierarchies – from Project Managers to Medical Experts, Quality Officers, and Annotators

Project Managers can track progress, configure annotation tools, and define label sets

Built for multicentric environments – ideal for collaborative studies and cross-institutional research

Scales from small teams to large distributed networks with flexible permissions and access layers


Project Management

Control and monitor complex annotation workflows – with full transparency and compliance.

Central dashboard for managing large-scale annotation projects with multiple contributors and data sources

Structured quality process with clearly defined stages: annotation, expert review, and final approval by quality officers

Track and analyze the learning curve of annotation teams to optimize training and quality

Monitor project progress, including resource consumption (time, budget, staffing) and performance metrics

Ensure full traceability and auditability of the annotation process – including MDR-compliant documentation for AI training data pipelines

Designed to support high-stakes, regulated environments in clinical and industrial AI development


Web Application Ecosystem for lmage and Video Annotation, Analysis & Al (lmViA)- Q&A


Do l need to install anything to use lmViA?

No. lmViA runs entirely in the browser - no installation, no local setup required

Can lmViA handle different medical data types?

Yes. The platform supports 2D images, 3D volumes, videos, endoscopy, MRl, CT, and more - all in a single unified interface

Can l use my own Al models in the platform?

Absolutely, You can integrate, train, and deplov vour own models - or use models from chimaera or open-source libraries via the Al Model Zoo

How is the accuracy of the surgical video annotations guaranteed?

ImViA features a structured gualty process: annotations go through expert review and approval stages, with ful tracablity and documentation. This
ensures consistent, high-quality results - even in large teams.




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