Adagen: adaptive interface agent for x-ray fracture detection

In this paper, we have proposed an adaptive interface agent, called the AdAgen that collaborates with trained agents using neural network to build the software interface agent to detect fractures in long bones. The software agent that provides a semi-intelligent system learns by the "Customizer Dialog "from the user's interests, goals and general preferences. A major problem with the learning approach is that the agent has to learn from scratch and thus takes some time becoming useful. Secondly, the agent's competence is necessarily limited to the actions it has seen the user perform. When the proposed AdAgen is faced with an unfamiliar situation, the agent consults its peers who may have the necessary experience to help it. Thus, the proposed framework can alleviate the mentioned problems. The simulation results have shown how the neural network of the collaborating agents can help maintain the performance for automatic detection of fractures in leg radiograph.