Papers
13
Total Citations
426
H-Index
10
About
Cailiang Shen is a spine surgeon and clinical researcher whose work sits at the forefront of surgical robotics and minimally invasive spinal techniques. His research primarily investigates the accuracy, safety, and clinical outcomes of robot-assisted spinal surgery, with particular emphasis on pedicle screw placement across thoracolumbar and cervical spine procedures. Shen's most influential contribution is his 2019 meta-analysis synthesizing data from nine randomized controlled trials comparing robot-assisted to conventional freehand techniques — a paper that has garnered 192 citations and helped establish an evidence base for adopting robotic guidance in spine surgery. He has continued to expand this comparative framework, producing multiple meta-analyses and cohort studies benchmarking robotic systems against fluoroscopy-guided and computer-assisted navigation methods, collectively accumulating over 400 citations. Notably, Shen has pioneered inquiry into the application of robotics in cervical spine surgery, a technically demanding frontier given the region's complex anatomy and catastrophic complication risks. His work on facet joint violation rates further highlights his commitment to minimizing iatrogenic injury. Through rigorous quantitative synthesis and clinical outcome analysis, Shen has meaningfully advanced the field's understanding of when and how robotic assistance offers genuine advantages, making his body of work essential reading for spine surgeons and biomedical engineers alike.
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