Future of Robotics in Neurosurgery

Future of Robotics in Neurosurgery Robotic systems are increasingly becoming integral to neurosurgery, providing enhanced precision, accuracy, and safety. While robotics in other surgical specialties (e.g., urology, orthopedics) is well established, neurosurgery presents unique challenges due to the microscopic scale and critical functional anatomy of the nervous system. Current Applications Stereotactic NeurosurgeryRobotic platforms facilitate accurate placement of deep brain stimulation (DBS) electrodes, stereoelectroencephalography (SEEG) leads, and biopsies, with accuracy often exceeding manual frame-based methods【1】. Spinal InstrumentationRobots aid in pedicle screw placement with reduced fluoroscopy time and improved accuracy compared to free-hand or navigation-assisted techniques【2】. Microsurgical AssistanceExperimental robotic arms with tremor filtration and enhanced dexterity show promise for microvascular anastomosis and tumor resection【3】. Advantages Sub-millimetric accuracy Integration with multimodal imaging and navigation systems Reduced radiation exposure during spine surgery Potential for minimally invasive approaches Limitations Cost and Maintenance – Robotic platforms remain expensive and may not be feasible for all centers. Learning Curve – Training requirements for neurosurgeons and OR teams are significant. Workflow Integration – Operative time may initially increase until proficiency is gained. Regulatory/Ethical Challenges – Particularly concerning autonomy and AI-assisted decision-making. Future Directions AI-Augmented Robotics – Integration of intraoperative data with AI for adaptive decision support【4】. Enhanced Haptic Feedback – Overcoming the current limitation of tactile “disconnect.” Remote Neurosurgery (Telesurgery) – Enabled by high-speed, low-latency communication (5G/6G). Patient-Specific Models (Digital Twins) – Preoperative simulation guiding robotic trajectories. Miniaturized & Flexible Robots – Catheter- or snake-like devices for deep brain access【5】. Conclusion Robotics in neurosurgery is moving from navigation-assistive tools toward intelligent, adaptive surgical partners. With ongoing advances in AI, imaging, and haptics, the next decade may see a transformation toward safer, more precise, and possibly semi-autonomous neurosurgical procedures. References Lefranc M, Capel C, Buffenoir K, et al. “Accuracy of robot-assisted stereotactic procedures in neurosurgery: a systematic review.” Neurosurgical Review. 2014. Staartjes VE, Klukowska AM, Schröder ML. “Pedicle screw accuracy in robot-guided versus freehand fluoroscopy-assisted spinal surgery.” Spine. 2018. Guthart GS, Salisbury JK. “The Intuitive Telesurgery System: Overview and application in neurosurgery.” Neurosurgical Focus. 2000. Yang GZ, Cambias J, Cleary K, et al. “Medical robotics—Regulatory, ethical, and legal considerations for increasing levels of autonomy.” Science Robotics. 2017. Burgner-Kahrs J, Rucker DC, Choset H. “Continuum robots for medical applications: A survey.” IEEE Transactions on Robotics. 2015. Keywords: Robotics, Neurosurgery, Artificial Intelligence, Spine, Deep Brain Stimulation, Telesurgery

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-25
DOI
https://doi.org/10.5281/zenodo.16945093
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Future of Robotics in Neurosurgery

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Future of Robotics in Neurosurgery

article en

Abstract

Future of Robotics in Neurosurgery Robotic systems are increasingly becoming integral to neurosurgery, providing enhanced precision, accuracy, and safety. While robotics in other surgical specialties (e.g., urology, orthopedics) is well established, neurosurgery presents unique challenges due to the microscopic scale and critical functional anatomy of the nervous system. Current Applications Stereotactic NeurosurgeryRobotic platforms facilitate accurate placement of deep brain stimulation (DBS) electrodes, stereoelectroencephalography (SEEG) leads, and biopsies, with accuracy often exceeding manual frame-based methods【1】. Spinal InstrumentationRobots aid in pedicle screw placement with reduced fluoroscopy time and improved accuracy compared to free-hand or navigation-assisted techniques【2】. Microsurgical AssistanceExperimental robotic arms with tremor filtration and enhanced dexterity show promise for microvascular anastomosis and tumor resection【3】. Advantages Sub-millimetric accuracy Integration with multimodal imaging and navigation systems Reduced radiation exposure during spine surgery Potential for minimally invasive approaches Limitations Cost and Maintenance – Robotic platforms remain expensive and may not be feasible for all centers. Learning Curve – Training requirements for neurosurgeons and OR teams are significant. Workflow Integration – Operative time may initially increase until proficiency is gained. Regulatory/Ethical Challenges – Particularly concerning autonomy and AI-assisted decision-making. Future Directions AI-Augmented Robotics – Integration of intraoperative data with AI for adaptive decision support【4】. Enhanced Haptic Feedback – Overcoming the current limitation of tactile “disconnect.” Remote Neurosurgery (Telesurgery) – Enabled by high-speed, low-latency communication (5G/6G). Patient-Specific Models (Digital Twins) – Preoperative simulation guiding robotic trajectories. Miniaturized & Flexible Robots – Catheter- or snake-like devices for deep brain access【5】. Conclusion Robotics in neurosurgery is moving from navigation-assistive tools toward intelligent, adaptive surgical partners. With ongoing advances in AI, imaging, and haptics, the next decade may see a transformation toward safer, more precise, and possibly semi-autonomous neurosurgical procedures. References Lefranc M, Capel C, Buffenoir K, et al. “Accuracy of robot-assisted stereotactic procedures in neurosurgery: a systematic review.” Neurosurgical Review. 2014. Staartjes VE, Klukowska AM, Schröder ML. “Pedicle screw accuracy in robot-guided versus freehand fluoroscopy-assisted spinal surgery.” Spine. 2018. Guthart GS, Salisbury JK. “The Intuitive Telesurgery System: Overview and application in neurosurgery.” Neurosurgical Focus. 2000. Yang GZ, Cambias J, Cleary K, et al. “Medical robotics—Regulatory, ethical, and legal considerations for increasing levels of autonomy.” Science Robotics. 2017. Burgner-Kahrs J, Rucker DC, Choset H. “Continuum robots for medical applications: A survey.” IEEE Transactions on Robotics. 2015. Keywords: Robotics, Neurosurgery, Artificial Intelligence, Spine, Deep Brain Stimulation, Telesurgery

Zenodo (CERN European Organization for Nuclear Research)
Self Regional Healthcare (US)
Openalex Percentile: Top 66%
Geochemistry and Geologic Mapping
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.