Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Future Directions in Robotic Neurosurgery
15
Zitationen
4
Autoren
2021
Jahr
Abstract
In this paper, we highlight promising technologies in each phase of a robotic neurosurgery operation, and identify key factors affecting how quickly these technologies will mature into products in the operating room. We focus on specific technology trends in image-guided cranial and spinal procedures, including advances in imaging, machine learning, robotics, and novel interfaces. For each technology, we discuss the required effort to overcome safety or implementation challenges, as well as identifying example regulatory approved products in related fields for comparison. The goal is to provide a roadmap for clinicians as to which robotic and automation technologies are in the developmental pipeline, and which ones are likely to impact their practice sooner, rather than later.
Ähnliche Arbeiten
A survey on deep learning in medical image analysis
2017 · 13.872 Zit.
nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation
2020 · 8.022 Zit.
Calculation of average PSNR differences between RD-curves
2001 · 4.093 Zit.
Magnetic Resonance Classification of Lumbar Intervertebral Disc Degeneration
2001 · 3.926 Zit.
Vertebral fracture assessment using a semiquantitative technique
1993 · 3.627 Zit.