AI will be a "lane assistant" for ultrasound scans of pregnant people

After two years of collaboration, a team of researchers from DTU Compute and other Danish universities has developed an artificial intelligence capable of evaluating the quality of ultrasound scans of pregnant women, drawing insights from experienced physicians. This innovation aims to enhance the quality of scans not only within Denmark but also in developing nations.

Ultrasound scan. Direc
Ultrasound scan, DIREC


  • Explainable artificial intelligence aims to explain the rationale behind AI model outputs, fostering trust in their decisions.
  • As machine learning models grow in complexity and are increasingly employed for critical decisions, XAI enables users to understand the data on which they were trained and assess the accuracy of the output.


Partners in the project EXPLAIN-ME: Learning to Collaborate via Explainable AI in Medical Education


  • DTU (DTU Compute - Department of Mathematics and Computer Science)
  • University of Copenhagen
  • Aalborg University
  • Roskilde University
  • CAMES - Copenhagen Academy for Medical Education and Simulation at Rigshospitalet in Copenhagen
  • NordSim - Center for skills training and simulation at Aalborg University Hospital
  • Department of Urology at Zealand University Hospital in Roskilde

Project period: 1 October 2021 to 30 April 2025