An Explainable AI Framework for Artificial Intelligence of Medical Things

arXiv:2403.04130v1 Announce Type: new
Abstract: The healthcare industry has been revolutionized by the convergence of Artificial Intelligence of Medical Things (AIoMT), allowing advanced data-driven solutions to improve healthcare systems. With the increasing complexity of Artificial Intelligence (AI) models, the need for Explainable Artificial Intelligence (XAI) techniques become paramount, particularly in the medical domain, where transparent and interpretable decision-making becomes crucial. Therefore, in this work, we leverage a custom XAI framework, incorporating techniques such as Local Interpretable Model-Agnostic Explanations (LIME), SHapley …

abstract advanced ai framework artificial artificial intelligence arxiv become complexity convergence cs.cv data data-driven explainable ai explainable artificial intelligence framework healthcare healthcare industry industry intelligence medical solutions systems type xai