Cognitive Impairment Detection System based on Image Segmentation and Artificial Intelligence Art

This paper presents an AI-based system designed to detect cognitive impairments in older adults using modern technologies such as image recognition and AI painting. The System aims to address the limitations of traditional cognitive assessment methods and improve the quality and accuracy of patient tests. The System has two main components: an AI-based Real-World Image Partial Redrawing System and an Automatic Test Generation System. The former employs image segmentation and AI painting techniques to redraw objects in images, creating various test content. The latter generates cognitive assessment tests by comparing the original and redrawn images and highlighting differences. The System also allows doctors to access and monitor patients’ test results remotely. The experimental results demonstrate that the System provides valuable insights into patients’ cognitive abilities and can aid in early detection of cognitive impairments. Future work involves data collection from different age groups to fine-tune the System and achieve automated and objective assessment of cognitive impairments.