Gaze Data

Gaze data, the record of eye movements, is increasingly used to understand human visual attention and cognitive processes, particularly in medical image analysis and human-computer interaction. Current research focuses on integrating gaze data with other modalities (e.g., images, text, audio) using various deep learning architectures, including graph neural networks, transformers, and generative adversarial networks, to improve model performance and interpretability in tasks such as disease classification, object detection, and information querying. This research is significant because it bridges the gap between human perception and artificial intelligence, leading to more accurate, efficient, and user-centered systems in healthcare and beyond.