Surgery

Neurosurgery

Latest AI and machine learning research in neurosurgery for healthcare professionals.

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Intrathecal injection of tigecycline in treatment of multidrug-resistant meningitis: a case report.

The ubiquitous is an important and troublesome pathogen of nosocomial infection. Multidrug-resistan...

Experimental new automatic tools for robotic stereotactic neurosurgery: towards "no hands" procedure of leads implantation into a brain target.

The use of robotics in neurosurgery and, particularly, in stereotactic neurosurgery, is becoming mor...

Non-Invasive Pulse Wave Analysis in a Thrombus-Free Abdominal Aortic Aneurysm after Implantation of a Nitinol Aortic Endograft.

Endovascular aneurysm repair has been associated with changes in arterial stiffness, as estimated by...

Probabilistic machine learning for the evaluation of presurgical language dominance.

OBJECTIVE Providing a reliable assessment of language lateralization is an important task to be perf...

Modification of Shape Memory Polymer Foams Using Tungsten, Aluminum Oxide, and Silicon Dioxide Nanoparticles.

Shape memory polymer (SMP) foams were synthesized with three different nanoparticles (tungsten, sili...

An autopsy case of cardiac tamponade caused by a ruptured ventricular aneurysm associated with acute myocarditis.

We report an autopsy case of hemopericardium caused by rupture of a ventricular aneurysm associated ...

Prediction of in-hospital mortality after ruptured abdominal aortic aneurysm repair using an artificial neural network.

OBJECTIVE: Ruptured abdominal aortic aneurysm (rAAA) carries a high mortality rate, even with prompt...

Cervical Ligamentum Flavum Hematoma: A Case Report.

Study Design Case report. Objective To report the first case of ligamentum flavum hematoma after cer...

da Vinci robot-assisted keyhole neurosurgery: a cadaver study on feasibility and safety.

The goal of this cadaver study was to evaluate the feasibility and safety of da Vinci robot-assisted...

Current state in tracking and robotic navigation systems for application in endovascular aortic aneurysm repair.

OBJECTIVE: This study reviewed the current developments in manual tracking and robotic navigation te...

An Intelligent Robotic Hospital Bed for Safe Transportation of Critical Neurosurgery Patients Along Crowded Hospital Corridors.

We present a novel design of an intelligent robotic hospital bed, named Flexbed, with autonomous nav...

Artificial neural networks in neurosurgery.

Artificial neural networks (ANNs) effectively analyze non-linear data sets. The aimed was A review o...

Natural History of Cerebral Aneurysms: Risk Factors for Rupture and Implications for Management.

Intracranial aneurysms, affecting 2% to 3% of adults, present a significant health challenge due to ...

Methodological Challenges in Deep Learning-Based Detection of Intracranial Aneurysms: A Scoping Review.

Artificial intelligence (AI), particularly deep learning, has demonstrated high diagnostic performan...

Multitask Deep Learning for Automated Detection of Endoleak at Digital Subtraction Angiography during Endovascular Aneurysm Repair.

Purpose To develop and evaluate a novel multitask deep learning framework for automated detection an...

First-in-human, real-time artificial intelligence assisted cerebral aneurysm coiling: a preliminary experience.

BACKGROUND: Neuroendovascular procedures require careful and simultaneous attention to multiple devi...

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