Qian Li, Xiaotao Wang, Bin Meng, Xinle Chen, Mingmin Xu
Patient perceptions and preferences of minimally invasive treatment modalities in varicose veins: a cross-sectional survey
Frontiers in cardiovascular medicine
deep neural networks become increasingly popular analyzing ecg data ability accurately identify cardiac conditions hidden clinical factors however lack transparency due black box nature models common concern address issue explainable ai xai methods employed study present comprehensive analysis posthoc xai methods investigating glocal aggregated local attributions multiple samples global concept based xai perspectives established set sanity checks identify saliency sensible attribution method provide datasetwide analysis across entire patient subgroups goes beyond anecdotal evidence establish first quantitative evidence alignment model behavior cardiologists decision rules furthermore demonstrate xai techniques utilized knowledge discovery identifying subtypes myocardial infarction believe proposed methods serve building blocks complementary assessment internal validity certification process well knowledge discovery field ecg analysis