Anatomy localisation in X-ray fluoroscopy videos for mechanical thrombectomy

This PhD opportunity at King's College London focuses on developing advanced computer vision and AI methods for anatomy localisation in X-ray fluoroscopy videos, specifically for mechanical thrombectomy procedures in acute ischemic stroke treatment. The project is highly interdisciplinary, involving collaboration between academic supervisors Professor Tom Vercauteren and Dr Thomas Booth, and industry partner Telos Health, represented by Konrad Leibrandt. The research aims to improve spatial understanding for interventional neuroradiologists by automating the identification of anatomical structures in real-time surgical imaging. Candidates will work closely with clinical experts to build annotated datasets and validate new algorithms. The position is open for a February 2026 start, and applicants should have a strong background in computer science, biomedical engineering, or related fields, with skills in machine learning and medical imaging. Funding details are not specified; applicants should consult the official application page for more information. To apply, visit the Surgery CDT website and follow the application instructions. This is an excellent opportunity for those interested in the intersection of medical robotics, AI, and clinical impact.