Radiologists often work under intense time pressure, analyzing large volumes of medical images rapidly, which can lead to fatigue and diagnostic errors. The AI-Powered Radiology Assistant addresses this challenge by combining Artificial Intelligence (AI) with workflow automation. The system allows users to upload images such as X-rays, which are analyzed using a pre-trained AI model to detect anomalies and provide classifications with confidence scores, along with highlighted regions of interest. It also incorporates elements of Robotic Process Automation (RPA) to handle repetitive tasks like image sorting, report generation, and data organization, while maintaining an automation log. This integration improves efficiency, reduces cognitive load, and supports faster, more accurate clinical decision-making.