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AI Innovation for your Clinical Research

With the Chimaera AI Building Blocks, we bridge the gap
between AI technologies and clinical research.

 

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AI for Clinical Research

Research on current clinical issues can benefit significantly from Artificial Intelligence (AI) technology if solutions are available that are easy to use, seamlessly integrated and individually configurable.

With the Chimaera AI Building Blocks, we bridge the gap between AI technologies and clinical research. Our comprehensive AI Building Blocks consist of concept consulting, engineering services and powerful software solutions that can be flexibly combined. Thus, we enable our customers to efficiently realize a wide variety of research projects - starting with raw data, flexible connections to PACS systems, and evaluated AI models.

As a reliable and competent partner, we support you in the successful implementation of AI projects in the clinical research environment.

 

Create AI innovation for your Clinical Research

Define

We help you to translate and define your idea:

  • Quality and complexity of annotation
  • AI technology
  • Hardware configuration

Build

We support you to:

  • Augment your data
  • Create customized AI models
  • Train your AI model

Gather

Gather your data with our PACS interface:

  • Smart DICOM Query/Retrieve functionality
  • DICOM RT, DICOM SEG and other standard formats
  • Can be combined with XNAT

Evaluate

Evaluate your AI model using our AI Model Server

  • Project related data is automatically forwarded to a dedicated AI model
  • Inference is supported on the local hardware or third-party API
  • Data created by the models is assigned to its project

Annotate

Annotate your data using our Annotation Client:

  • Fast and accurate semantic annotation
  • Fully automated AI annotation
  • Flexible refinement options of existing annotations

Collaborate

Use our cloud solution to collaborate:

  • Share your AI models with other partners and provide access to your research
  • Allow a global team of medical experts to access and review the annotations