Learning to Collaborate via Explainable AI in Medical Education

Project: Research

Project Details


Classification of a renal tumor as malign or benign is an example of a decision that needs to be taken under time pressure. If malign, the patient should be operated immediately to prevent cancer from spreading to the rest of the body, and thus a false positive diagnosis may lead to the unnecessary destruction of a kidney and other complications. While AI methods can be shown statistically to be more precise than an expert physician, there is a need for extending it with explanation for a decision– and only the physicians know what “a good explanation” is. This motivates a participatory design and development process to find the best balance between what is technically possible and what is clinically needed.

Part of a larger EXPLAIN-ME bridge project under DIREC: https://direc.dk/explain-me-learning-to-collaborate-via-explainable-ai-in-medical-education/
Short titleEXPLAIN-ME
Effective start/end date01/10/202130/04/2025

Collaborative partners

  • Roskilde University
  • Sjællands Universitetshospital (Joint applicant)
  • DTU Compute (Joint applicant) (lead)
  • University of Copenhagen (Joint applicant)
  • Aalborg University, Department of Computer Science (Joint applicant)
  • Copenhagen Academy for Medical Education and Simulation (Joint applicant)
  • NordSim Center for færdighedstræning og simulation, Aalborg Universitetshospital (Joint applicant)
  • Aalborg University, Department of Clinical Medicine (Joint applicant)