Y. Didi

A comprehensive review of AI-based approaches for lung disease classification using chest X-ray images

AI-driven techniques for thoracic disease classification in chest radiography: A comprehensive review and critical analysis

This review provides a comprehensive critical analysis of AI-based thoracic disease classification using chest X-ray (CXR) imaging, covering 81 studies published between 2020 and 2025, and offers consolidated recommendations and highlights open challenges in generalization, evaluation standardization, and clinical inte...

MedNSR-Net: Trustworthy Chest X-ray Decision Support via Hybrid CNN-Transformer with Uncertainty and Explainability

Reliable automated Chest X-ray (CXR) analysis is critical for clinical decision support, yet deep learning models often suffer from overconfidence, limited interpretability, and poor out-of-distribution robustness. We propose a framework towards trustworthy AI for multi-class CXR classification integrating a hybrid CNN...