Surgery

Neurosurgery

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

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Showing 526-546 of 3,845 articles
Prediction, pattern recognition and modelling of complications post-endovascular infra renal aneurysm repair by artificial intelligence.

OBJECTIVES: The study evaluates the plausibility and applicability of prediction, pattern recognitio...

Aug 2020 32829694
Machine learning in neurosurgery: a global survey.

BACKGROUND: Recent technological advances have led to the development and implementation of machine ...

(2)
Aug 2020 32812067
The Future of Skull Base Surgery: A View Through Tinted Glasses.

In the present report, we have broadly outlined the potential advances in the field of skull base su...

Jun 2020 32599213
High-quality photoacoustic image reconstruction based on deep convolutional neural network: towards intra-operative photoacoustic imaging.

The use of intra-operative imaging system as an intervention solution to provide more accurate local...

Jun 2020 33444279
A pilot study using a machine-learning approach of morphological and hemodynamic parameters for predicting aneurysms enhancement.

PURPOSE: The development of straightforward classification methods is needed to identify unstable an...

Jun 2020 32514728
A deep learning algorithm may automate intracranial aneurysm detection on MR angiography with high diagnostic performance.

OBJECTIVES: To develop a deep learning algorithm for automated detection and localization of intracr...

May 2020 32474633
Automated computer-assisted detection system for cerebral aneurysms in time-of-flight magnetic resonance angiography using fully convolutional network.

BACKGROUND: As the rupture of cerebral aneurysm may lead to fatal results, early detection of unrupt...

May 2020 32471439
Stability Assessment of Intracranial Aneurysms Using Machine Learning Based on Clinical and Morphological Features.

Machine learning (ML) as a novel approach could help clinicians address the challenge of accurate st...

May 2020 32430796
Development of machine learning-based preoperative predictive analytics for unruptured intracranial aneurysm surgery: a pilot study.

BACKGROUND: The decision to treat unruptured intracranial aneurysms (UIAs) or not is complex and req...

May 2020 32358656
How to do it: a robotic kidney autotransplant.

We describe Australia's first reported case of robotic kidney autotransplantation for a complex rena...

May 2020 32356606
Prediction of Intracranial Aneurysm Risk using Machine Learning.

An efficient method for identifying subjects at high risk of an intracranial aneurysm (IA) is warran...

(1)
Apr 2020 32332844
Roadmap for Developing Complex Virtual Reality Simulation Scenarios: Subpial Neurosurgical Tumor Resection Model.

BACKGROUND: Advancement and evolution of current virtual reality (VR) surgical simulation technologi...

(1)
Apr 2020 32289510
Design and verification of a human-robot interaction system for upper limb exoskeleton rehabilitation.

This paper presents the design of a motion intent recognition system, based on an altitude signal se...

Mar 2020 32205023
Improved Prediction of Surgical Resectability in Patients with Glioblastoma using an Artificial Neural Network.

In managing a patient with glioblastoma (GBM), a surgeon must carefully consider whether sufficient ...

Mar 2020 32198487
Attitudes of Patients and Their Relatives Toward Artificial Intelligence in Neurosurgery.

BACKGROUND: Artificial intelligence (AI) may favorably support surgeons but can result in concern am...

Mar 2020 32179185
Can natural language processing provide accurate, automated reporting of wound infection requiring reoperation after lumbar discectomy?

BACKGROUND: Surgical site infections are a major driver of morbidity and increased costs in the post...

(3)
Mar 2020 32145358
Artificial intelligence in abdominal aortic aneurysm.

OBJECTIVE: Abdominal aortic aneurysm (AAA) is a life-threatening disease, and the only curative trea...

Feb 2020 32093909
Deep learning for automated cerebral aneurysm detection on computed tomography images.

PURPOSE: Cerebrovascular aneurysms are being observed with rapidly increasing incidence. Therefore, ...

Feb 2020 32056126
Deep Learning of Imaging Phenotype and Genotype for Predicting Overall Survival Time of Glioblastoma Patients.

Glioblastoma (GBM) is the most common and deadly malignant brain tumor. For personalized treatment, ...

Jan 2020 31905135
Intracatheter Tissue Plasminogen Activator for Chronic Subdural Hematomas after Failed Bedside Twist Drill Craniostomy: A Retrospective Review.

Introduction Chronic subdural hematomas (cSDH) are common in neurosurgery with various symptoms and ...

Dec 2019 32025399
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