AIMC Topic: Nasal Cavity

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Machine learning-based prediction of outcomes of the endoscopic endonasal approach in Cushing disease: is the future coming?

Neurosurgical focus Jun 1, 2020
OBJECTIVE: Machine learning (ML) is an innovative method to analyze large and complex data sets. The aim of this study was to evaluate the use of ML to identify predictors of early postsurgical and long-term outcomes in patients treated for Cushing d...
Humans Machine Learning Forecasting Retrospective Studies Female Aged Young Adult Adult Male Middle Aged Adolescent Treatment Outcome Follow-Up Studies Predictive Value of Tests Nasal Cavity Neuroendoscopy Pituitary ACTH Hypersecretion
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A Haptic Guided Robotic System for Endoscope Positioning and Holding.

Turkish neurosurgery Jan 1, 2015
AIM: To determine the feasibility, advantages, and disadvantages of using a robot for holding and maneuvering the endoscope in transnasal transsphenoidal surgery.
Humans Endoscopy Biomechanical Phenomena Robotics Neurosurgical Procedures Dissection Feasibility Studies Cadaver Models, Anatomic Endoscopes Nasal Cavity Sphenoid Bone
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