Recent advancements in artificial intelligence (AI) have significantly transformed the field of medical diagnostics. By leveraging large datasets, machine learning algorithms are capable of detecting patterns and anomalies in medical images, laboratory results, and electronic health records with high accuracy. One of the most promising applications of AI lies in radiology, where deep learning models have demonstrated performance comparable to, and in some cases exceeding, that of human experts in detecting diseases such as pneumonia, breast cancer, and brain tumors.