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About

Jan‐Oliver Neumann is a pioneering researcher in the field of spinal and thoracic surgery, with a focus on integrating artificial intelligence and robotic technologies to enhance surgical precision. His key research areas include automated surgical planning, navigated spinal instrumentation, and robot-assisted thoracic surgery. Neumann’s major contributions include the development and validation of an automated planning tool for lumbosacral pedicle screws using a convolutional neural network, which has garnered 17 citations for its innovative approach to improving screw placement accuracy. Additionally, his work on CT-navigated spinal instrumentations, with 14 citations, provides a three-dimensional evaluation of screw placement accuracy relative to preoperative trajectory plans, offering a quantitative framework that advances beyond traditional qualitative assessments. Neumann has also explored robotic thoracic surgery for neurogenic tumors, demonstrating the potential of robot-assisted techniques in transthoracic resections. His research is impactful, with citations reflecting the clinical relevance of his work in enhancing patient outcomes through technology-driven solutions. Notable achievements include his contributions to the integration of AI in surgical planning, positioning him as a key figure in the evolution of precision surgery.