Endovascular Intervention

Endovascular intervention, a minimally invasive medical procedure involving navigating catheters and guidewires through blood vessels, aims to improve treatment efficacy and safety. Current research heavily emphasizes the development of autonomous navigation systems using artificial intelligence, particularly reinforcement learning and learning from demonstration, often validated through simulation environments and physical phantoms. These advancements leverage deep learning models, including convolutional neural networks and transformers, for tasks such as device tracking and vessel segmentation, ultimately seeking to reduce procedure times, radiation exposure, and the need for highly specialized physicians. The resulting improvements in precision and accessibility have significant implications for patient care and the broader medical field.