KANEx: Translating Kolmogorov-Arnold Networks' Interpretability to Medical Explainability

Computer vision models have become highly effective for medical applications, yet their black-box nature continues to undermine clinician trust.

Computer vision models have become highly effective for medical applications, yet their black-box nature continues to undermine clinician trust. In clinical workflows, chest X-ray classifiers are increasingly paired with Vision-Language Models (VLMs) to generate natural-language…