DeepXplainer: An interpretable deep learning based approach for lung cancer detection using explainable artificial intelligence.
Journal:
Computer methods and programs in biomedicine
Published Date:
Oct 24, 2023
Abstract
BACKGROUND AND OBJECTIVE: Artificial intelligence (AI) has several uses in the healthcare industry, some of which include healthcare management, medical forecasting, practical making of decisions, and diagnosis. AI technologies have reached human-like performance, but their use is limited since they are still largely viewed as opaque black boxes. This distrust remains the primary factor for their limited real application, particularly in healthcare. As a result, there is a need for interpretable predictors that provide better predictions and also explain their predictions.