Karl Kiening
Papers
2
Total Citations
31
H-Index
2
About
Karl Kiening is a leading figure in the field of computer-assisted spinal surgery, with a primary focus on enhancing the precision and safety of lumbosacral instrumentation. His work bridges the gap between advanced imaging, artificial intelligence, and clinical orthopedics. Dr. Kiening’s most significant contributions include the development and validation of an automated planning tool for navigated pedicle screws, which leverages a convolutional neural network to streamline preoperative trajectory planning. This innovation, detailed in his 2022 paper (17 citations), represents a major step toward reducing human error and operative time. Complementing this, his research on CT-navigated spinal instrumentations provides a rigorous, three-dimensional evaluation of screw placement accuracy against a preoperative plan (14 citations), moving beyond qualitative assessments to offer a quantitative framework for surgical success. By demonstrating that navigation can achieve high fidelity to planned trajectories, his work directly impacts patient outcomes by minimizing the risk of malpositioned screws. Dr. Kiening’s research is foundational for the next generation of autonomous or semi-autonomous spinal surgery systems, making him a key voice in the evolution of precision spine care.
Research Focus
Key Achievements
Top Papers
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