Table 25.

The Significance of Interpretability for Clinical Applications

Examine	Methodologies	Findings
Importance analysis of features generated by SHAP	For breast cancer risk prediction and to guide clinical decision making	Enhanced credibility in clinical decision making208
Identification of Attentional Mechanisms Responsive to Targeted Therapies	Identifying potential patient response characteristics to targeted therapies	Optimized individualized treatment plans209
Heat map to aid in data labeling	Used to indicate lesion areas and speed up the labeling process	Improved data labeling efficiency210