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Neurosurgical Procedures

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Use of machine learning to model surgical decision-making in lumbar spine surgery.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
PURPOSE: The majority of lumbar spine surgery referrals do not proceed to surgery. Early identification of surgical candidates in the referral process could expedite their care, whilst allowing timelier implementation of non-operative strategies for ...

Natural language processing for automated surveillance of intraoperative neuromonitoring in spine surgery.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
We sought to develop natural language processing (NLP) methods for automated detection and characterization of neuromonitoring documentation from free-text operative reports in patients undergoing spine surgery. We included 13,718 patients who receiv...

A simulation study to investigate the use of concentric tube robots for epilepsy surgery.

Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery
PURPOSE: Patients with pharmacoresistant refractory epilepsy may require epilepsy surgery to prevent future seizure occurrences. Conventional surgery consists of a large craniotomy with straight rigid tools with associated outcomes of morbidity, larg...

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.