Artificial Intelligence in Radiological Diagnosis of Lung Diseases
DOI:
https://doi.org/10.52692/1857-0011.2024.2-79.35Keywords:
artificial intelligence, radiological diagnosis, lung diseases, deep learning, CAD4TB, diagnostic accuracyAbstract
Artificial intelligence (AI) plays a crucial role in the radiological diagnosis of lung diseases, enhancing diagnostic accuracy and speed. Deep learning techniques, such as convolutional neural networks (CNN), enable AI to detect minute pathological changes on X-rays, often beyond visual analysis. Systems like CheXNet and CAD4TB have proven effective in diagnosing pneumonia, tuberculosis, and lung cancer, especially valuable in mass screening scenarios. The use of AI reduces the burden on medical professionals and ensures higher diagnostic accuracy, which is essential in overloaded healthcare systems and areas with limited medical resources.
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