AIMC Topic: Neurosurgical Procedures

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Uncharted Waters of Machine and Deep Learning for Surgical Phase Recognition in Neurosurgery.

World neurosurgery
Recent years have witnessed artificial intelligence (AI) make meteoric leaps in both medicine and surgery, bridging the gap between the capabilities of humans and machines. Digitization of operating rooms and the creation of massive quantities of dat...

Machine-Learning Prediction of Postoperative Pituitary Hormonal Outcomes in Nonfunctioning Pituitary Adenomas: A Multicenter Study.

Frontiers in endocrinology
OBJECTIVE: No accurate predictive models were identified for hormonal prognosis in non-functioning pituitary adenoma (NFPA). This study aimed to develop machine learning (ML) models to facilitate the prognostic assessment of pituitary hormonal outcom...

Design and analysis of a continuum robot for transnasal skull base surgery.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: The traditional surgical instruments for transnasal endoscopic skull base surgery have poor flexibility and continuum robot has attracted extensive attention for its high dexterity and safety.

Cranial neurosurgical robotics.

British journal of neurosurgery
OBJECT: The purpose of this review is to highlight the major factors limiting the progress of robotics development in the field of cranial neurosurgery.

One-Shot Neural Architecture Search by Dynamically Pruning Supernet in Hierarchical Order.

International journal of neural systems
Neural Architecture Search (NAS), which aims at automatically designing neural architectures, recently draw a growing research interest. Different from conventional NAS methods, in which a large number of neural architectures need to be trained for e...

Patient-to-robot registration: The fate of robot-assisted stereotaxy.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Robot-assisted stereotaxy (RAS) promises higher stereotactic accuracy (SA) and time efficiency (TE) than frame-based stereotaxy. However, both aspects are attributed to the problem of patient-to-robot registration.

Framed and non-framed robotics in neurosurgery: A 10-year single-center experience.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Safety, efficacy and efficiency of neurosurgical robots are defined by their design (i.e., framed and non-framed) and procedural workflow (PW) (from image to surgery). The present study describes the quality indicators of three different ...

Resection of Intracranial Tumors with a Robotic-Assisted Digital Microscope: A Preliminary Experience with Robotic Scope.

World neurosurgery
BACKGROUND: Magnified intraoperative visualization is of paramount importance during microsurgical procedures. Although the introduction of the operating microscope represented one of the most relevant innovations in modern neurosurgery, surgical vis...

Robot-Assisted Stereotactic Shunting as a Novel Treatment for Pontine Glioependymal Cysts.

Journal of neurological surgery. Part A, Central European neurosurgery
In this case report, the authors describe the first case of a glioependymal cyst of the brainstem managed by robot-assisted, stereotactic, cysto-ventricular shunting. Glioependymal cysts are rare congenital cystic lesions that are thought to form by ...

Machine learning applications to neuroimaging for glioma detection and classification: An artificial intelligence augmented systematic review.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
Glioma is the most common primary intraparenchymal tumor of the brain and the 5-year survival rate of high-grade glioma is poor. Magnetic resonance imaging (MRI) is essential for detecting, characterizing and monitoring brain tumors but definitive di...