Deep Learning CNN for Pneumonia Detection: Advancing Digital Health in Society 5.0

A new deep learning model uses Convolutional Neural Networks (CNNs) to automatically detect pneumonia from chest X-ray images. The system, trained with preprocessing techniques like normalization and data augmentation, achieved a 91.67% accuracy rate, a ROC-AUC score of 0.96, and a PR-AUC of 0.95 in testing. Researchers propose it as a consistent diagnostic tool to support digital health initiatives, especially in regions with limited healthcare resources.