Construction of an Interactive System Aims to Extract Expert Knowledge about the Condition Cultured Corneal Endothelial Cells

We aim to construct an expert system for diagnosing the health of corneal endothelial cells. To construct the proposed system, we first constructed a system that confirms whether experts use the same criteria to diagnose the condition of cells. In the constructed system, an expert interacts with a computer that generates images of cells by simulation. These images describe cells that are in the best condition, according to expert diagnosis. By comparing the results from multiple experts, we can elucidate whether experts use the same criterion for diagnosis. The proposed system is composed of an interactive genetic algorithm (IGA) and involves the simulation of cells. We confirmed the system operated normally through operational experiments. In another experiment, conducted with no experts, we confirmed that this system could generate images demonstrating a predetermined feature value.