Abstract— This study presents the development and implementation of an artificial intelligence (AI) system for the

automated detection of brain tumours from medical scan reports. Using state-of the-art deep learning algorithms, the system accurately identifies brain tumours with high precision and efficiency. Through the analysis of a large dataset of brain scan images, the AI model demonstrated remarkable performance in distinguishing between tumour and non tumor regions, thereby facilitating early intervention and treatment planning. This paper discusses the technical architecture of the AI system, including data processing, model training, and result dissemination. Moreover, it examines the clinical implications and potential benefits of integrating such AI-driven solutions into routine medical practice, emphasizing their role in improving patient care, reducing healthcare costs, and alleviating the burden on healthcare professionals.