Frederik Abel
Papers
4
Total Citations
69
H-Index
3
About
Frederik Abel is a leading researcher in the rapidly evolving field of computer-assisted spine surgery, with a focus on enhancing precision and safety in spinal instrumentation. His work centers on the comparative evaluation of emerging technologies—specifically robotic-navigated assistance, augmented reality (AR), and deep-learning-enhanced imaging—for pedicle screw placement. Abel’s major contributions include demonstrating the high accuracy of robotic-navigated systems in degenerative thoracic and lumbar spine disorders, as detailed in his most-cited 2023 study (44 citations), which assessed screw placement accuracy, radiation exposure, and complication rates. He has also pioneered the use of deep-learning-reconstructed 3D MRI for surgical planning, offering a radiation-free alternative to CT for geometric measurements and screw trajectory planning (14 citations). His prospective comparison of AR versus robotic-assisted surgery (9 citations) provides critical insights into the trade-offs between these navigation modalities. Abel’s work is notable for its rigorous clinical and radiographic methodology, directly informing surgical decision-making and advancing patient safety. With cumulative citations exceeding 70, his research is shaping the next generation of minimally invasive, technology-driven spine surgery.
Research Focus
Key Achievements
Top Papers
- 1Robotic-navigated assistance in spine surgery44 citations · 2023
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