Ann Liu

Johns Hopkins University

Papers

3

Total Citations

89

H-Index

3

About

Ann Liu is a leading figure in the rapidly evolving field of spinal robotics and augmented reality (AR) in neurosurgery. Her research focuses on enhancing the precision and safety of complex spinal instrumentation, particularly in anatomically challenging regions. Dr. Liu’s major contributions include pioneering the clinical application of real-time image-guided spinal robots for short-segment lumbar fusion, demonstrating improved accuracy over freehand techniques in her highly cited 2020 work (66 citations). She has also advanced spinopelvic fixation by providing the first in-human report of S2 alar-iliac screw placement using AR assistance (2022, 14 citations), a study that has become foundational for integrating AR into pelvic surgery. Further extending the boundaries of technology, she has documented the successful use of robotics for atlantoaxial fixation in the high cervical spine (2022, 9 citations), a region fraught with risk due to nearby vital structures. Through these landmark studies, Dr. Liu has established herself as a key innovator, demonstrating that robotic and AR systems can significantly improve surgical outcomes and expand the possibilities for minimally invasive, high-precision spine surgery.

Research Focus

Key Achievements

3
H-Index
3
Papers
89
Total Citations
30
Avg Citations/Paper
🏆 Most Cited Paper
Robot-Assisted versus Freehand Instrumentation in Short-Segment Lumbar Fusion: Experience with Real-Time Image-Guided Spinal Robot
66 citations · 2020
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 23
🏛 Institutions: Johns Hopkins University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago