Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on artificial in telligence have been published. According to news reporting from National Colleg e of Business Administration and Economics by NewsRx journalists, research state d, "A kidney stone is a solid formation that can lead to kidney failure, severe pain, and reduced quality of life from urinary system blockages." Financial supporters for this research include This Research Work Is Supported B y Qatar National Library.. Our news editors obtained a quote from the research from National College of Bus iness Administration and Economics: "While medical experts can interpret kidney- ureter-bladder (KUB) X-ray images, specific images pose challenges for human det ection, requiring significant analysis time. Consequently, developing a detectio n system becomes crucial for accurately classifying KUB X-ray images. This artic le applies a transfer learning (TL) model with a pre-trained VGG16 empowered wit h explainable artificial intelligence (XAI) to establish a system that takes KUB X-ray images and accurately categorizes them as kidney stones or normal cases. The findings demonstrate that the model achieves a testing accuracy of 97.41% in identifying kidney stones or normal KUB X-rays in the dataset used. VGG16 mod el delivers highly accurate predictions but lacks fairness and explainability in their decision-making process. This study incorporates the Layer-Wise Relevance Propagation (LRP) technique, an explainable artificial intelligence (XAI) techn ique, to enhance the transparency and effectiveness of the model to address this concern."
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