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About

Jasper Hofman is a pioneering researcher at the intersection of artificial intelligence, augmented reality (AR), and robotic surgery. His key contributions center on developing real-time AI-assisted systems to enhance surgical precision and safety, particularly in thoracic and urologic procedures. Hofman led the first-in-human demonstration of AI-assisted instrument deocclusion during AR robotic surgery, a breakthrough that solves a critical barrier to AR adoption by intelligently managing 3D model superposition and occlusion in real time. His work on AI-assisted AR robotic lung surgery, published in 2024, has already garnered 25 citations, showcasing its immediate impact. Hofman also developed a privacy-proof live surgery streaming algorithm, enabling secure, real-time anonymization of surgical video for training and research. With over 60 total citations across his most-cited works, his research is shaping the future of surgical automation and augmented reality. Notably, his 2023 first-in-human study (26 citations) and subsequent refinements demonstrate a clear translational path from concept to clinical application, positioning him as a leader in next-generation, data-driven surgical innovation.