Kidney Disease Diagnosis

Kidney diseases such as stones, cysts, and tumors require accurate diagnostic tools, and this study developed an AI-based system using over 12,000 CT images to improve classification. The model combines AlexNet and ConvNeXt to enhance feature extraction and attention, achieving a classification accuracy of 99.85%. With strong performance across precision, recall, and specificity, the approach also emphasizes interpretability, supporting its potential for clinical use.