Trust Metrics for Medical Deep Learning Using Explainable-AI Ensemble for Time Series Classification

Trustworthiness is a roadblock in mass adoption of artificial intelligence (AI) in medicine. This research developed a framework to explore the trustworthiness as it applies to AI in medicine with respect to common stakeholders in medical device development. Within this framework the element of explainability of AI models was explored by evaluating an ensemble of explainable AI (XAI) methods. In current literature a litany of XAI methods are …