Improving Model's Interpretability and Reliability using Biomarkers

arXiv:2402.12394v1 Announce Type: cross
Abstract: Accurate and interpretable diagnostic models are crucial in the safety-critical field of medicine. We investigate the interpretability of our proposed biomarker-based lung ultrasound diagnostic pipeline to enhance clinicians' diagnostic capabilities. The objective of this study is to assess whether explanations from a decision tree classifier, utilizing biomarkers, can improve users' ability to identify inaccurate model predictions compared to conventional saliency maps. Our findings demonstrate that decision tree explanations, based on clinically established biomarkers, can assist …

abstract arxiv capabilities classifier clinicians cs.ai cs.hc cs.lg decision diagnostic eess.iv interpretability medicine pipeline reliability safety safety-critical study tree type