“…In general, a tradeoff exists between the complexity/depth of an AI system and its interpretability, with classical, shallow algorithms, such as decision trees, providing more explainable output with a potentially reduced performance. 34,37,38 Figure 2 depicts this phenomenon for several commonly used algorithms. It is important to note that finding the optimal operating point between system performance,which will improve patient management, and system interpretability, which will lead to more frequent implementation and trust in radiological practice, is critical.…”