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Researchers at the School of Computer Science in Uttarakhand, India, have developed an explainable artificial intelligence (AI) model for identifying local indicators and detecting lung disease from chest X-ray images. The model aims to mimic the decision-making process of radiologists by identifying critical regions in the images and training the model on these regions. The research found that the model achieved 99.6% accuracy with fewer epochs, showing remarkable improvement. This study highlights the potential of AI in diagnosing lung illnesses and the importance of explainability for the clinical deployment of AI models in the healthcare sector. [Extracted from the article]