Heavy Workload

Heavy workload, encompassing excessive demands on human and computational resources, is a significant concern across diverse fields, driving research into methods for its reduction and efficient management. Current research focuses on developing AI-assisted tools, such as large language models and vision transformers, to automate tasks in healthcare, radiology, and nursing, thereby mitigating human workload and improving accuracy. These efforts leverage machine learning techniques, including deep learning and reinforcement learning, to optimize resource allocation and predict workload demands, ultimately aiming to enhance efficiency and productivity in various sectors. The impact of this research extends to improving worker well-being, optimizing resource utilization, and enabling more timely and effective responses to critical situations.