How does the presentation of AI-enabled advice to healthcare providers influence clinical decision-making?

In a series of experiments, we will test how the presentation of algorithmic advice to healthcare providers influences their trust in AI. Our goal is to identify the components of an optimized AI-enabled system interface that supports physicians in maximising diagnostic accuracy and patient safety.

To achieve this goal, physicians will be asked to diagnose patients based on medical images and diagnostic advice of an AI-enabled support system. By providing different presentations of the AI recommendation, e.g. by varying the form visualization, we want to investigate which factors lead to overreliance on or neglect of the support system.