Preoperative CT

Preoperative CT scans are increasingly used to improve surgical planning and outcomes across various specialties. Current research focuses on leveraging these scans, often in conjunction with intraoperative imaging, to improve image segmentation, registration accuracy (using methods like expected appearance learning), and risk prediction for procedures like liver resection and lung cancer surgery. This involves employing advanced deep learning architectures, including graph convolutional networks and multimodal learning approaches, to extract relevant features and make predictions about surgical complexity or the presence of high-risk factors. These advancements aim to enhance surgical precision, reduce complications, and ultimately improve patient care.