FCA-Guided Counterfactual Explanations for Multi-Modal Breast Cancer Diagnosis: A Framework Achieving Perfect Validity with Emergent Sparsity
A new explainable-AI framework for breast cancer diagnosis achieves perfect counterfactual validity, improving trust and interpretability in clinical AI.
A new explainable-AI framework for breast cancer diagnosis achieves perfect counterfactual validity, improving trust and interpretability in clinical AI.
Auto-scored: Substantive scientific result advancing explainable AI for medical diagnosis, with no identified risk.