ChestScan AI: AI-Powered Diagnostics for Accurate Chest X-ray Analysis
| dc.contributor.author | Senia Abbassa | |
| dc.contributor.author | Nesrine Tayeb | |
| dc.date.accessioned | 2026-10-13T09:30:51Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | Lung diseases have become increasingly prevalent in recent years, highlighting the need for early detection, particularly in regions with limited medical infrastructure. Deep learning, especially convolutional neural networks (CNNs), has emerged as a powerful branch of machine learning with wide-ranging applications, including medical imaging. Our startup, ChestScanAI, is developing an intelligent application that leverages AI and deep learning to automatically detect lung conditions such as pneumonia and COVID-19 from chest X-rays, offering fast and accurate diagnoses. We have designed and evaluated a CNN-based model as the core of this diagnostic solution. As a future vision, we aspire to expand the scope of the project to include other types of lung diseases and medical images, as well as detect diseases in other organs, such as the heart and brain. | |
| dc.identifier.uri | https://e-biblio.univ-mosta.dz/handle/123456789/30956 | |
| dc.language.iso | en | |
| dc.relation.ispartofseries | MINF465 | |
| dc.subject | ChestScanAI | |
| dc.subject | convolutional neural networks (CNNs) | |
| dc.subject | Artificial intelligence | |
| dc.subject | deep learning | |
| dc.subject | X-rays | |
| dc.subject | lung diseases | |
| dc.subject | diagnosis. | |
| dc.title | ChestScan AI: AI-Powered Diagnostics for Accurate Chest X-ray Analysis | |
| dc.type | Article |