AI methods have become a success story and are now part of daily experience. They have also been applied in many domains of biomedical research. However, the setup and use of AI toolkits is a task requiring a lot of methodological insight as well as specialized IT expertise.
The aim of PAI is to drastically lower the entry barrier to the AI methodology for researchers analyzing biomedical images. PAI is designed as a framework, which allows users to develop their tailored AI-based image analysis solution leveraging their own training data while fully working within the familiar PMOD environment.

“Tool which brings Artificial Intelligence to researchers.”

  • PAI drastically lowers the entry barrier to AI-based image analysis.
  • Using PAI, segmentation tasks can be automated based on sufficiently large sets of segmentation examples.
  • Users can develop AI-based segmentations working fully in PMOD.