The rapid advancement of artificial intelligence (AI) continues to gain interest in the healthcare sectors, particularly in radiology. There has been an extensive debate about AI-based applications and their potential effects on the future of radiology. The current advancement in AI-based applications such as machine-learning (ML) and deep learning (DL) algorithms has proven their effectiveness in administration task s (e.g., scheduling), diagnostic tasks such as objects detection (e.g., detection of abnormalities) and image classifications (e.g., classify tumours into benign or malignant) with efficient accuracy.