Learning to Collaborate via Explainable AI in Medical Education

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/