XpertCausal improves chest X-ray pathology classification by modeling causal pathology-to-concept relationships via noisy-OR and Bayesian inference, constrained by radiologist-curated associations.
Defining the unde- finable: the black box problem in healthcare artificial intel- ligence.Journal of Medical Ethics, 48(10):764–768
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XpertXAI is an expert-driven multi-pathology CBM that outperforms post-hoc XAI methods and unsupervised CBMs in both accuracy and alignment with radiologist annotations on public chest X-ray data.
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Radiologist-Guided Causal Concept Bottleneck Models for Chest X-Ray Interpretation
XpertCausal improves chest X-ray pathology classification by modeling causal pathology-to-concept relationships via noisy-OR and Bayesian inference, constrained by radiologist-curated associations.
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Explainability Through Human-Centric Design for XAI in Lung Cancer Detection
XpertXAI is an expert-driven multi-pathology CBM that outperforms post-hoc XAI methods and unsupervised CBMs in both accuracy and alignment with radiologist annotations on public chest X-ray data.