AI-Enhanced Decision Support for Radiology Technicians
Authors:-Pavan T.K
Abstract-The exponential rise in diagnostic imaging demands has outpaced the capacity of radiologists and radiology technicians worldwide, creating a bottleneck in timely and accurate diagnosis. Artificial Intelligence (AI) has emerged as a revolutionary tool in the field of radiology, particularly as a decision support system for radiology technicians. While much of the AI research in medical imaging focuses on automating radiologist tasks, the integration of AI tools into radiology technician workflows presents a valuable, underexplored frontier. This paper investigates the role of AI in assisting radiology technicians by enhancing image acquisition quality, automating repetitive tasks, supporting error detection, and optimizing workflow management. It also discusses AI’s contribution to patient safety, data annotation, training, and real-time support during imaging procedures. As AI technology evolves, radiology technicians are increasingly becoming empowered with tools that boost accuracy, improve efficiency, and reduce burnout. The paper also examines ethical, technical, and operational considerations in deploying AI systems in radiological environments, concluding with insights into the future of collaborative human-AI integration in medical imaging.
