Computer vision methods for understanding surgical safety

This PhD opportunity focuses on using computer vision to transform healthcare and enhance patient care in surgical settings. Computer vision is essential in surgical care for identifying areas of interest, but current surgical landscapes face challenges including occlusion, organ opacity, visual challenges, and scene interpretation. While methods have been developed for surgical scene understanding including scene segmentation, depth estimation, tracking and 3D reconstruction, these remain rudimentary and cannot be directly translated to clinical care. This project takes a holistic approach to identifying surgical complications and patient safety. The successful candidate will work with experts in computer vision, machine learning, computer graphics, and surgeons, integrated directly into the AI for Medicine and Surgery group at Leeds, which has a world-leading reputation for delivering high-quality research.