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Neurosurgical Procedures

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Robotic Instruments Inside the MRI Bore: Key Concepts and Evolving Paradigms in Imaging-enhanced Cranial Neurosurgery.

World neurosurgery
Intraoperative MRI has been increasingly used to robotically deliver electrodes and catheters into the human brain using a linear trajectory with great clinical success. Current cranial MR guided robotics do not allow for continuous real-time imaging...

[Robotics and computer-assisted procedures in cranial neurosurgery].

Chirurgie (Heidelberg, Germany)
BACKGROUND: The medical technical innovations over the last decade have made operations in the highly sensitive regions of the brain much safer.

Neurosurgery inpatient outcome prediction for discharge planning with deep learning and transfer learning.

British journal of neurosurgery
INTRODUCTION: Deep learning may be able to assist with the prediction of neurosurgical inpatient outcomes. The aims of this study were to investigate deep learning and transfer learning in the prediction of several inpatient outcomes including timing...

Machine learning for outcome prediction of neurosurgical aneurysm treatment: Current methods and future directions.

Clinical neurology and neurosurgery
INTRODUCTION: Machine learning algorithms have received increased attention in neurosurgical literature for improved accuracy over traditional predictive methods. In this review, the authors sought to assess current applications of machine learning f...

AI-Based Video Segmentation: Procedural Steps or Basic Maneuvers?

The Journal of surgical research
INTRODUCTION: Video-based review of surgical procedures has proven to be useful in training by enabling efficiency in the qualitative assessment of surgical skill and intraoperative decision-making. Current video segmentation protocols focus largely ...

Capturing fine-grained details for video-based automation of suturing skills assessment.

International journal of computer assisted radiology and surgery
OBJECTIVES: Manually-collected suturing technical skill scores are strong predictors of continence recovery after robotic radical prostatectomy. Herein, we automate suturing technical skill scoring through computer vision (CV) methods as a scalable m...

Modular robotic platform for precision neurosurgery with a bio-inspired needle: System overview and first in-vivo deployment.

PloS one
Over the past 10 years, minimally invasive surgery (MIS) has shown significant benefits compared to conventional surgical techniques, with reduced trauma, shorter hospital stays, and shorter patient recovery times. In neurosurgical MIS procedures, in...

Targeting the Future: Developing a Training Curriculum for Robotic Assisted Neurosurgery.

World neurosurgery
OBJECTIVE: Technological advances have significantly fostered the use of robotics in neurosurgery. Due to their novelty, there is a need to develop training methods within neurosurgical residency programs that provide trainees the skills to utilize t...

Robotics in spine surgery: systematic review of literature.

International orthopaedics
PURPOSE: Over 4.83 million spine surgery procedures are performed annually around the world. With the considerable caseload and the precision needed to achieve optimal spinal instrumentation, technical progress has helped to improve the technique's s...

Deep Learning and Microscopic Imaging in the Nursing Process of Neurosurgery Operation.

Journal of healthcare engineering
Neurosurgery is mainly for the treatment of head trauma, cerebrovascular disease, brain tumors, and spinal cord disorders. These operations are difficult and risky, so disability and mortality are high. To reduce the risk of surgery, reduce postopera...